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6905333b74f22949d97ba9e3
I'm trying to wrap my head around kitty's remote control system because I want to eventually add a new command to it. I've been reading through the code but I'm getting lost in how all the pieces connect. So here's what's confusing me. When I run something like kitten @ ls from another terminal, somehow that command ...
I started by investigating kitty's remote control system to understand how commands flow from `kitten @ ls` to the running kitty instance and back. The system uses two communication mechanisms: Unix sockets for external connections and TTY-based DCS escape sequences for shell integration. When you specify a `--to` ad...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "a33fc01cba19849aaf3b55e6b801001c", "title": "1.1: States that kitty's remote control system uses two communication mechanisms: Unix sockets (when --listen-on or KITTY_LISTEN_ON is configured) and TTY-based DCS escape sequences (when running inside a kitty window).", "annotations": {"type": "positive hli verifi...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9aa
I'm new to SimpleLogin and trying to get everything running locally. Once the application starts, how can I tell that the web server, email handler, and job runner are actually up and responding? What should I see in the logs or dashboard UI that confirms users can sign in and manage their aliases? After it's running,...
I began by bringing up the Flask application using the real virtual environment and the provided sample configuration, so that everything I observed was based on actual runtime behavior rather than assumptions. The server was started with the following command, which explicitly points to the example.env file and the vi...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Code Onboarding
[{"id": "39fb9b69e1bbf86db0156890f38bc313", "title": "1.1: Reports that a GET request to `/health` returns HTTP 200 status code with response body containing `success`, showing the web server is running.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "27a8c60ef17da8e73cde36450f2c...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97ba99d
I’m trying to understand why back navigation in a multi step onboarding flow sometimes behaves like it has a mind of its own. The Back button is supposed to move one step backward, but every so often it snaps straight to the first step or slips out into an entirely different flow, and it never feels truly random. What ...
I started with tracing the back navigation code path to understand why the behavior feels deterministic rather than random. The erratic back navigation behavior in multi-step onboarding flows stems from a fallback mechanism in the Redux connect function that maps external back targets into every step, not just the flow...
Automattic/wp-calypso
be7e5cc641622d153040491fd5625c6cb83e12eb
ts
Root-cause analysis
[{"id": "285c61f38e08d51b4692c448bfe5447b", "title": "1.1: Identifies the connect function where backUrl is computed (e.g., in client/signup/step-wrapper/index.jsx)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "540c261b537bd397b98617458d7d2b24", "title": "1.2: Identifies the nu...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_Automattic_wp-calypso_1.0
6905333b74f22949d97ba9c8
I'm worried about deploying TruffleHog in an environment where teams can contribute custom detector configurations. Custom detectors can specify webhook URLs for verification, and I need to understand what security boundaries exist around this feature before we open it up. If someone submits a detector configuration p...
I started by looking at what happens when a custom detector webhook points to localhost. My concern was whether TruffleHog has any validation that would block requests to internal addresses. I wrote a quick test to find out: ```go // test_localhost_ssrf.go package main import ( "fmt" "net/http" "net/http/...
trufflesecurity/trufflehog
e42153d44a5e5c37c1bd0c70e074781e9edcb760
go
Security
[{"id": "b1eca1777a8c95a9600918bc1832aeb8", "title": "1.1: Explains the behavior when someone submits a detector configuration pointing to internal addresses (e.g., \"requests to localhost succeed\", \"127.0.0.1 is reachable\", \"private IPs are not blocked\", \"no SSRF protection for internal addresses\")", "annotatio...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_trufflesecurity_trufflehog_1.0
6905333b74f22949d97ba9f5
I want to understand how Kitty actually handles input event flow and focus management across windows, tabs, and child processes at runtime, without relying on assumptions from reading the source. Start Kitty from this repository and interact with it in a way that creates overlapping input activity: open multiple tabs ...
I started by setting up a virtual framebuffer to enable running Kitty in a headless environment, then built and launched Kitty with debug input logging to observe the input handling pipeline at runtime. Setting up the environment and building Kitty: $ Xvfb :99 -screen 0 1024x768x24 & $ export DISPLAY=:99 $ cd /app &&...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "289c38261413a0073f884ffbb33408ea", "title": "1.1: Shows that Kitty was running during the analysis (e.g., process ID, debug output, or runtime logs).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "c9e76116e256f3ba23c17ae7def98d12", "title": "1.5: Includes a stack-level ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97baa1b
I'm trying to get a clearer sense of how MinIO actually behaves when things start going wrong at runtime, especially before we rely on it more heavily for fault tolerance. When MinIO runs in distributed mode with four directories and data is spread across them using erasure coding, it reports that everything is healthy...
I started by setting up a local MinIO distributed environment to actually observe the fault tolerance behavior rather than just reading about it. I created four data directories and launched MinIO in distributed mode: ```bash mkdir -p /tmp/minio-test/disk1 /tmp/minio-test/disk2 /tmp/minio-test/disk3 /tmp/minio-test/di...
minio/minio
c07e5b49d477b0774f23db3b290745aef8c01bd2
go
Root-cause analysis
[{"id": "4d7412a80019b76df71ebb297211f95f", "title": "1.1: Reports the health endpoint HTTP response with the X-Minio-Write-Quorum header showing the required disk count (e.g., X-Minio-Write-Quorum: 3).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "6c52f3aa9de91caa5edc396bd01ec...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_minio_minio_1.0
6905333b74f22949d97ba9fd
I'm onboarding to the kitty codebase and want to understand how its file transfer protocol enables efficient file copying over SSH connections. After building kitty from source, establish an SSH connection using the SSH kitten and initiate a file transfer, then help me trace the complete journey of file data through th...
I started by checking if kitty was already built: ```bash ls -la kitty/launcher/ ``` And I saw: ```text total 15652 drwxr-sr-x 1 root 1001 4096 Aug 28 21:37 . drwxr-sr-x 1 root 1001 4096 Aug 28 21:36 .. -rwxr-xr-x 1 root 1001 15945988 Aug 28 21:37 kitten -rwxr-xr-x 1 root 1001 36224 Aug 28 21:35 kitty ```...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "3de269be6bdfe6519e5ba2b8440b603e", "title": "1.5: Reports FILE_TRANSFER_CODE value is 5113. For example, states OSC escape sequences use number 5113, or reports this constant defined in source code. This demonstrates agent identified the specific OSC escape sequence code that kitty uses to demarcate file trans...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9fb
I'm new to Kitty and I'm having trouble with Kitty's search query parser and I suspect there might be a bug. When I combine multiple search terms with "or" and spaces, the results don't match what I expect. Items that should clearly match at least one term are being excluded entirely. I looked through the code briefly...
The search query parser in Kitty is not buggy. The behavior you're experiencing comes from operator precedence rules where AND operations bind tighter than OR, and spaces between terms create implicit AND operators. Understanding the parser's recursive descent structure explains why queries combining "or" with spaces p...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Root-cause analysis
[{"id": "61a9ff9bd7a72d6c36be742766f60796", "title": "1.1 Concludes that the observed behavior is not a bug but expected/intended parser behavior.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "4188ca130fd6e435b2d37ee167840100", "title": "1.2 Reports that spaces between search t...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97baa09
I'm onboarding to TruffleHog and trying to understand its detection architecture before working with it. If I build it from source and run a basic scan, what happens during startup? Does it load detector configurations from files, or are they compiled in? What initialization messages appear about which detectors get re...
I started by building TruffleHog from source and exploring its architecture through code analysis and practical experiments: ``` $ go build -o trufflehog . ``` Here's what I discovered about its detection system. When I examined how detector configurations are loaded, I found they are compiled directly into the bina...
trufflesecurity/trufflehog
e42153d44a5e5c37c1bd0c70e074781e9edcb760
go
Architecture & system design
[{"id": "0ff886f7da4e55e77408ab834f55c3ea", "title": "1.1: Reports worker initialization messages from startup logs (e.g., \"starting scanner workers\", \"starting detector workers\" with count values such as 12, 96).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "8d12c50eaeb85f...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_trufflesecurity_trufflehog_1.0
6905333b74f22949d97ba9c2
I am joining a team that relies heavily on Scapy for custom packet manipulation, and before I start writing any code, I need to understand what the runtime environment actually looks like. I've cloned the Scapy repository locally, and I need you to help me get oriented by answering some specific questions about how it ...
I executed a small Python script to introspect the installed Scapy runtime. The script captured the startup banner and version, inspected the current configuration (including verbosity, socket settings, and theme), counted all registered protocol layers, and built an example ICMP packet so I could examine its structure...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Code Onboarding
[{"id": "563c0c280150d67d4a5c4d04a5e720d8", "title": "1.1: States that the Scapy runtime reports version 2.5.0.dev87 via both scapy.__version__ and conf.version to demonstrate programmatic access methods for version checking in scripts.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"i...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97baa27
I'm onboarding into the SFTPGo repository and trying to understand how the connection handling, quota enforcement, and atomic upload mechanisms hold together under real pressure, because the code paths look straightforward in isolation but I suspect the interesting behavior only emerges when everything runs at once. Wh...
I started by setting up a test environment to observe how SFTPGo handles concurrent sessions, quota enforcement, and atomic uploads under pressure. I built the server from source and created a test configuration with strict limits: max_sessions set to 2, quota_files set to 5, quota_size set to 50000 bytes, idle_timeout...
drakkan/sftpgo
44634210287cb192f2a53147eafb84a33a96826b
go
Architecture & system design
[{"id": "a6ca0d4631789cc1b5b67e73891c268f", "title": "1.1: Reports session acceptance versus rejection counts when multiple sessions approach max_sessions limit (e.g., 2 accepted, 2 rejected when limit is 2).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "60bb02a171a558eff428340...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_drakkan_sftpgo_1.0
6905333b74f22949d97ba9e1
I'm evaluating TruffleHog for our security pipeline and I've run into some confusing behavior. When I scan certain files, valid AWS credentials get detected perfectly, but in other files with what appear to be the same credentials, they're completely missed or reported differently. I initially thought it might be rand...
I started investigating TruffleHog's detection behavior by examining the AWS detector implementation and running entropy calculations to understand the detection thresholds. The AWS detector in pkg/detectors/aws/common.go defines two entropy thresholds that control detection. ```go const ( RequiredIdEntropy =...
trufflesecurity/trufflehog
e42153d44a5e5c37c1bd0c70e074781e9edcb760
go
Root-cause analysis
[{"id": "9506fbb93e15b658122cc1a78461e197", "title": "1.1: Identifies encoding methods that bypass TruffleHog detection (e.g., hex encoding, double base64 encoding).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "c3e2bd88bc830778e33c37b52cfcfbe0", "title": "1.2: Explains that lo...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_trufflesecurity_trufflehog_1.0
6905333b74f22949d97ba9ab
I want to understand how SimpleLogin behaves during a normal alias-creation flow. To do that, run the full application locally using the standard development setup, login with any test user, and create a new alias while observing the system in real time. As you go through this flow, watch the frontend and note exactly...
I executed the full SimpleLogin application locally using the standard development setup. I did this by starting Postgres and Redis, running migrations, seeding initial data, then launching `wsgi:app` via Gunicorn from the `/app` directory (with `wsgi.py` importing `create_app` from `server.py`). ```bash cd /app servi...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Architecture & system design
[{"id": "510ffe1105d954e77c3a892f37f3c686", "title": "1.1: Identifies that the frontend sends an HTTP POST request for alias creation (e.g., POST to /dashboard/ endpoint).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "9a7862a12c556bbf48b9f166e0d58b63", "title": "1.2: Identifies...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97ba9fa
I want to understand how kitty keeps its internal state consistent when terminal windows appear, resize, and disappear in quick succession. When a new window is created and immediately used to run a command, resize events and signals start flowing through the system. What happens if the window is gone before everything...
When terminal windows in kitty are created, resized, and closed in quick succession, the system maintains consistent internal state through global state structures and nested iteration macros in state.c. The WITH_OS_WINDOW macro provides safe iteration patterns. ```c #define WITH_OS_WINDOW(os_window_id) \ for (siz...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "4752da51d233ab109862e2a85b92b091", "title": "1.1: Reports how kitty maintains window state during rapid creation and destruction (e.g., global_state structure, WITH_OS_WINDOW macros)\n", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "4f922e9b8c84b8013234146f1e82eaa2", "ti...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9eb
I'm trying to understand exactly how the keyboard protocol stack behaves during alternating screen buffer switches, and I'm getting confused by what I observe versus what I expect. Here's my situation: I'm writing a text-mode application that needs to push its own keyboard enhancement flags when it starts, but the app...
The keyboard protocol stack in kitty maintains completely independent stacks for the main and alternate screen buffers. Each buffer has its own 8-entry array of keyboard encoding flags, and switching between buffers simply changes which array is active without copying or modifying any flag values. ## Data Structure Ar...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "50ff178658f046434ed5ce5e51b4287a", "title": "1.1: Explains that switching buffers changes a pointer to the active flag array without copying data between buffers.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "6cdea1a75edc311cd172aa4eb6c06821", "title": "1.2: Reports th...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9d0
I'm evaluating paperless-ngx architecture and need to understand what background maintenance happens automatically. Set up the development environment, what periodic tasks are registered with the task scheduler, and where is the schedule configuration defined? Find the sanity checker; what does it validate, what log ou...
I started by exploring the codebase to understand what task scheduler paperless-ngx uses. I searched for celery and beat patterns: ```bash grep -r "celery|beat" /app/src ``` Got no results, so it's not celery. Then I searched for schedule-related files: ```bash find /app -name "*schedule*" ``` And found: ```text s...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Architecture & system design
[{"id": "c7aa215ccb82a5e4ae87b8c951d74654", "title": "1.1 Identifies the task scheduling system used by paperless-ngx (e.g., django-q, Celery Beat, APScheduler, RQ)\n", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "54790e93bd4ec8c534a61adf665b8b8b", "title": "1.2 Lists all the pe...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba9f2
I’m onboarding into the Kitty repository and trying to understand how its terminal interaction pipeline behaves when it is actually alive and running, because it feels like a busy junction where keystrokes, paste bursts, and resize signals all arrive at once and still somehow turn into a coherent flow. When the termina...
I started by examining the entry point for raw input in the test harness, which is the parse_bytes function in kitty_tests/__init__.py (lines 30-36). This function shows how incoming data is staged into a write buffer and then parsed into screen events. ```python def parse_bytes(screen, data, dump_callback=None): ...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "e16be86b52f5e31d17d84dea861f8038", "title": "1.1: Identifies a raw input entry point where bytes are staged into the screen parsing loop (e.g., a helper that wraps data in a memoryview and starts the write buffer cycle)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "42b...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97baa19
We're evaluating TruffleHog for our CI pipeline, but I'm concerned about resource exhaustion attacks. If a malicious actor commits a specially crafted file to a repository we're scanning, could they cause TruffleHog to hang or time out, effectively blocking our security scans? I need you to determine if TruffleHog's pa...
I started my investigation by examining how TruffleHog handles pattern matching to determine if computational complexity attacks could cause resource exhaustion. The first thing I discovered is that TruffleHog uses go-re2 instead of the standard Go regexp package for all built-in detectors. ```go regexp "github.com/wa...
trufflesecurity/trufflehog
e42153d44a5e5c37c1bd0c70e074781e9edcb760
go
Security
[{"id": "f05948f7e78427d2288dd35d436e5c04", "title": "1.1: Explains why the timing measurements show linear or non linear scaling behavior (e.g., processing time scales proportionally with input size, no exponential blowup observed, time remains in milliseconds for large inputs)", "annotations": {"type": "positive hli ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_trufflesecurity_trufflehog_1.0
6905333b74f22949d97baa12
I'm onboarding to this mail server and trying to understand how recipient address transformations are tracked. A colleague explained that when aliases rewrite addresses, the system maintains a "forward mapping" that stores what each original address was transformed into, so you can look up [user@domain.com](mailto:user...
I investigated how address tracking works in this mail server and found that your colleague's explanation has several key details backwards. Let me walk through what the system actually does. The tracking mechanism lives in the message metadata structure, not in the modify or dsn packages you checked. The core data st...
foxcpp/maddy
26452dd8dd787dc455278b0fdd296f4a5432c768
go
Code Onboarding
[{"id": "d48d78f500319f85035bd9a108e7e995", "title": "1.1 Shows the code snippet where OriginalRcpts is populated (if originalTo != to)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "5f517c9e78cd505638bf94d7fc0d28cb", "title": "1.2 States in prose that the colleague's forward ma...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_foxcpp_maddy_1.0
6905333b74f22949d97baa06
I’m trying to get an intuitive feel for what Kitty’s history buffer really does when it’s pushed far beyond normal use, especially in moments where it feels like the terminal is being overwhelmed. If I trigger a command that pours out an enormous amount of text in a very short time, what actually unfolds inside the His...
I started by examining how Kitty's history buffer handles high output loads at runtime. The core implementation lives in history.c where the HistoryBuf structure manages terminal scrollback using a segmented memory architecture with circular buffer indexing. This design solves two problems simultaneously: it avoids all...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "a141e92137a3d1c4c3fbab5d0e0703d1", "title": "1.1: Reports HistoryBuf behavior under high output load with observed metrics (e.g., 10,000 lines pushed in ~0.04 seconds, final count values)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "cbebc9af28d9c18d42e01e31b3eecd02", ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97baa14
I'm trying to understand how maddy's message processing pipeline operates from the moment a message enters the system until it reaches its final destination. When you configure maddy with a small max_tries setting and point it at a non-responsive SMTP destination that times out, what exact sequence of connection attemp...
I started by exploring the maddy codebase to understand how the queue works. I looked at the queue implementation file to understand the retry mechanism. ```bash ls -la /app/internal/target/queue/ ``` and I found the main queue logic in queue.go. I read through it and discovered that messages are stored as three file...
foxcpp/maddy
26452dd8dd787dc455278b0fdd296f4a5432c768
go
Architecture & system design
[{"id": "efd0080385267ac02c44d77ba93147fb", "title": "1.1: States that the queue stores pending messages in a configured location directory (e.g., /tmp/maddy-queue-test/queue/ or the path specified in the queue location directive)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "8...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_foxcpp_maddy_1.0
6905333b74f22949d97baa23
I need to get familiar with how k6 behaves as a tool. I need to understand how the basic workflow of writing and running a load-testing script works and what k6 reports back when the script executes. How can I test a single HTTP request using k6 to understand its behavior? I am interested in seeing what the output loo...
The k6 load testing tool is written in the Go programming language. To understand how k6 behaves I first had to create the binaries of k6, that is done by building it with the Go toolchain. The following command compiles the source code in the `k6/` directory into an executable that can be named `k6.exe`: ```powershe...
grafana/k6
ddc3b0b1d23c128e34e2792fc9075f9126e32375
go
Code Onboarding
[{"id": "121ab8b50531f34d8a0a0810a5a63617", "title": "1.1 Lists core HTTP timing metrics including 'http_req_duration' with values in milliseconds (ms)\n", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "6076f49a4d199073ad7ecfa53fbdb6d7", "title": "1.3 Describes or shows a minimal ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_k6_1.0
6905333b74f22949d97ba9db
I'm onboarding into the Paperless-NGX repository and I'm curious about the hidden choreography that happens when the system is actually running. When a document's tags change and the filename format includes tags in the directory structure, files apparently relocate themselves. I wonder what log messages actually appea...
I started investigating how Paperless-NGX manages document files when metadata changes by examining the signal handlers and file handling modules. The file movement mechanism is implemented in handlers.py through two signal receivers. Here's the relevant code from `src/documents/signals/handlers.py`: ```python @recei...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Code Onboarding
[{"id": "99394476776a2d59ba5291313acaa504", "title": "1.1: Reports log messages that appear during file relocation when document tags change (e.g., states that successful moves are silent, or shows failure logs like \"File {path} has gone\")", "annotations": {"type": "positive hli verifier", "importance": "must have"}}...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba9b6
I’m trying to understand how Grafana’s Grouping to matrix transformation behaves when the source series is sparse and some row and column pairings never show up at all. In charts that expect a dense grid, those missing intersections can quietly turn into empty cells, nulls, or zeros, and that small difference can compl...
The Grouping to Matrix transformation produces empty strings for missing row and column intersections by default. This differs semantically from numeric zero and affects how downstream visualizations render and calculate. The transformation's `emptyValue` option defaults to `SpecialValue.Empty` which yields empty strin...
grafana/grafana
4550cfb5b72886782d9a3e6cf995f8dbd57ca4ff
ts
Architecture & system design
[{"id": "3de9fe10977758fddbadc53ff2db6461", "title": "1.1: Identifies that the transformation has an emptyValue option defaulting to SpecialValue.Empty (e.g., DEFAULT_EMPTY_VALUE = SpecialValue.Empty)\n", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "3088060faf4154d0471dd2be7d151...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_grafana_1.0
6905333b74f22949d97ba9de
I'm investigating a strange memory usage pattern in the Paperless document processing system. When the system imports documents, it sometimes consumes far more memory than expected for the metadata handling, but this doesn't happen consistently and seems to vary based on the document source or processing stage. What I...
I started by locating where metadata is actually pulled during import. The API path calls get_metadata() in documents/views.py, which chooses a parser based on MIME type and calls extract_metadata(). For PDFs, that lands in RasterisedDocumentParser.extract_metadata() in paperless_tesseract/parsers.py, which converts PD...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Root-cause analysis
[{"id": "a4239ca33cdad56c0ca72927a5b997c2", "title": "1.1: Reports memory usage patterns using line-by-line tracemalloc output showing allocations in Paperless source files (e.g., shows specific files like `paperless_tesseract/parsers.py` with allocation sizes).", "annotations": {"type": "positive hli verifier", "impor...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba9e4
I'm onboarding into the Kitty repository and trying to understand how the SSH kitten behaves when it sets up a secure session and shares connections. It seems to do something clever with shared memory to pass credentials securely and then generates bootstrap scripts that run on the remote machine. I'm trying to piece t...
I started investigating the SSH kitten by running the test suite to understand its core mechanisms. ``` $ go test -v ./kittens/ssh/... === RUN TestSSHConfigParsing --- PASS: TestSSHConfigParsing (0.01s) === RUN TestCloneEnv --- PASS: TestCloneEnv (0.00s) === RUN TestSSHBootstrapScriptLimit --- PASS: TestSSHBoots...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "0075294b91631faecf7110ac5860e74b", "title": "1.1: Reports how shared memory segments are created (e.g., shm.CreateTemp with pattern kssh-PID-, WriteWithSize with 4-byte size header)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "67def2e251baec4355d4600b610953ba", "title...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9d1
I want to understand how Paperless-NGX keeps its search index synchronized with document changes before I start working with this codebase. With the full environment running, I'm curious what actually happens at runtime when a document gets modified after it's already been ingested. If I change an existing document's t...
I wanted to understand how Paperless-NGX keeps its search index synchronized with document changes, so I started by exploring the codebase. First, I looked at the source directory structure. ```bash ls /app/src ``` ```text documents locale manage.py paperless paperless_tesseract paperless_text paperless_tika setup.cf...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Architecture & system design
[{"id": "aacb78276f44767286e09fb18c1263bb", "title": "1.1: Reports that a document appears immediately in search results after API title update, e.g., searching for the new title within seconds returns 1 result.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "1c3c596c8071cf106b38...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba9a3
I'm seeing inconsistent test execution times in wp-calypso and I need to understand why. Run any test file from the data-layer module twice in a row and measure the wall-clock time for each run, I'm expecting to see a significant difference between the first and second execution. What's the ratio of first-run time to s...
When investigating test execution time inconsistencies in wp-calypso's data-layer module, the primary factor is Jest's transformation caching system. Running the same test file twice reveals a significant performance difference that stems from how Babel transpilation results are stored and reused. The data-layer modul...
Automattic/wp-calypso
be7e5cc641622d153040491fd5625c6cb83e12eb
ts
Root-cause analysis
[{"id": "8a58f371d68188a65f4f7eda62aa8676", "title": "1.2: Identifies 'cacheDirectory' option in 'test/client/jest.config.js' pointing to '.cache/jest'", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "c68c1e32cc6c82ec0a7d2737d5fe7439", "title": "1.3: Identifies at least two types ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_Automattic_wp-calypso_1.0
6905333b74f22949d97ba9d2
I’m trying to get a big-picture understanding of how documents flow through the system. How does a new document usually enter paperless-ngx. Once a document is received, what are the main stages it goes through before it’s fully processed and available, are there any background jobs and what is used for background exec...
First I wanted to understand how documents actually enter paperless-ngx, so I searched for where `consume_file` is queued. I ran: ```bash cd /app && grep -rn '"documents.tasks.consume_file"' src/ --include="*.py" ``` and got: ```text src/documents/views.py:524: "documents.tasks.consume_file", src/document...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Architecture & system design
[{"id": "c32488cc2d9bf215b892e2c5ef1ff03e", "title": "1.1: Identifies folder-based consumption directory as a document entry point (e.g., mentions document_consumer management command or folder watcher)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "ecde0adb4e7155ebd6ce0cdd2767c...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba9cf
I'm seeing some confusing behavior when building Ethernet frames with Scapy and I want to understand what's actually happening. Using the secdev/scapy repository, create a few simple test packets in memory: a normal Ethernet/IP/TCP packet, one with a really short payload (like 10 bytes), and one with a weird EtherType ...
I started by exploring the scapy repo structure to find where ethernet stuff lives: ls /app/scapy/layers/ and saw the l2.py file which has the Ether class. Then I read it and found the default ethertype is 0x9000: class Ether(Packet): name = "Ethernet" fields_desc = [DestMACField("dst"), S...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
API & library usage / integration
[{"id": "1b2c268b8fa38421719fc47540cb1371", "title": "1.1: Constructs three test packets with explicit code: a baseline Ether/IP/TCP (e.g., `Ether()/IP()/TCP()`), one with short payload (~10 bytes, e.g., `Raw(load=b'A'*10)`), and one with unknown EtherType (e.g., `Ether(type=0x9000)`). ", "annotations": {"type": "posit...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9b1
I just joined the team and I am trying to get Grafana running locally for the first time. The README and contributing docs make it seem straightforward, but when I actually start the server, the behaviour I observe doesn't match what I expected from reading the architecture documentation. Here's what's confusing me: th...
Reference Answer: Grafana First-Run Initialization Ground Truth Establishing Clean State To understand what actually happens on a fresh Grafana start, I first removed all existing state: ``` $ rm -rf /app/data/ $ ls /app/data/ ls: cannot access '/app/data/': No such file or directory ``` This confirms no prior data...
grafana/grafana
4550cfb5b72886782d9a3e6cf995f8dbd57ca4ff
ts
Code Onboarding
[{"id": "518946c8d7a85566da1f0b168fe3c99a", "title": "1.1: Identifies the default persistence artifact as a SQLite3 database file located at data/grafana.db.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "5fdffc3fad92dd60bacea429aac4281e", "title": "1.2: Reports default admin cr...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_grafana_1.0
6905333b74f22949d97baa22
I'm seeing strange behavior in k6's ramping executor that I think might be a concurrency bug. When I configure stages that go up and down rapidly with a long gracefulRampDown, sometimes VUs seem to get "stuck" in a state where they're neither fully active nor fully stopped. I printed some debug output and saw that at c...
The behaviors observed in k6's ramping executor are not bugs but intentional design decisions that become clearer when tracing through the actual code paths and running the test suite. The apparent race condition between handlers does not exist because the two handler strategies operate on fundamentally different data...
grafana/k6
ddc3b0b1d23c128e34e2792fc9075f9126e32375
go
Root-cause analysis
[{"id": "6bd92ff9e47ded92d97640b473e71091", "title": "1.1 Explains the \"stuck\" VU state as graceful completion behavior tied to gracefulRampDown (e.g., VUs finishing current iteration, reserved until graceful period expires, longer residency than stage targets)", "annotations": {"type": "positive hli verifier", "impo...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_k6_1.0
6905333b74f22949d97baa0c
To get familiar with how TruffleHog is structured and how it behaves when you first run it, set up the repository locally and perform a small, safe scan using a simple dry-run command. I’m not looking for a file-by-file summary. I want to understand how the tool actually behaves once the Go binary starts up. Build the...
I built a fresh local binary using ``` go build -o trufflehog-local.exe . ``` to ensure the logs come from a clean, up-to-date build with no stale artifacts. Then I executed it with high-verbosity logging and detector-timing enabled ``` .\trufflehog-local.exe --log-level=5 --print-avg-detector-time filesystem ..\samp...
trufflesecurity/trufflehog
e42153d44a5e5c37c1bd0c70e074781e9edcb760
go
Architecture & system design
[{"id": "ce551928084a6404d4295f63b6dbec3a", "title": "1.1: States that startup begins with the printed message `default engine options set`, as it identifies how the program begins.\n", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "a7cd6e8e54bc7fb912128af8c6d33b8e", "title": "1.2...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_trufflesecurity_trufflehog_1.0
6905333b74f22949d97ba9ae
I’d like to understand how SimpleLogin resolves inbound email replies to a contact and forwarding destination during normal alias usage, specifically in cases where a reply ends up being delivered to a different user than the alias owner. As inbound reply messages are processed, focus on how the system derives the repl...
I started by examining the SimpleLogin codebase to understand how inbound email replies are resolved to contacts, focusing on the `handle_reply()` function and the `reply_email` lookup mechanism. My goal is to trace the actual runtime values involved in reply resolution, observe how contacts are looked up, and determin...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Root-cause analysis
[{"id": "616bf973c33de562637efe4a689570f1", "title": "1.1: Shows that the reply email address used for resolution is derived from the inbound message recipient field (e.g., reply_email extraction from message.To field.)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "6ea5977863e2...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97baa1f
Hey, I just joined the team, and they want me to get familiar with this k6 load testing tool. Before I dive deep into the code, I'd like to get a feel for how healthy the project is; can you run the tests and tell me how many pass vs fail? Are there any that are skipped or broken? Also, I'm trying to wrap my head aro...
I started by running the full test suite to get a sense of the project's health. The k6 repository is a Go project, so I executed the standard test command from the root directory. ```bash $ go test ./... 2>&1 | tail -30 ``` Output: ``` ok go.k6.io/k6/js/modules/k6/metrics 0.087s FAIL go.k6.io/k6/js/mod...
grafana/k6
ddc3b0b1d23c128e34e2792fc9075f9126e32375
go
Code Onboarding
[{"id": "d851cfec9d04ccb479f66d1e415833da", "title": "1.3: Reports the count of packages with no test files: 28.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "44d90545c9c288d97aae098eec7b9cd8", "title": "1.4: Explains that the grpc and http test failures are environment-specifi...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_k6_1.0
6905333b74f22949d97ba9ff
I need to get kitty running from source to understand its initialization flow. Build and launch it, then help me trace what happens during the critical early startup phase. When kitty initializes, it goes through GPU context creation and font system setup. Run it and tell me what you observe about the rendering backend...
To understand kitty's initialization flow, I built the terminal from source and launched it with debug flags using a virtual X11 display. This revealed how the window system, GPU context, and font rendering subsystems connect during the critical early startup phase. The repository was already compiled, so I set up a v...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "e23b8a313f716a02b76f7ad16da97a02", "title": "1.1: Identifies the specific windowing/rendering backend selected at runtime (e.g., X11 via GLFW, Wayland, or Cocoa).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "b63957ea59888baf849b634bc84e0dbf", "title": "1.3: Reports th...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9a9
I'm running into unexpected behavior in the alias reply-handling flow of SimpleLogin and I want to determine whether it's a real issue or just a misunderstanding of how the pipeline works. When a user replies to an email that was forwarded through an alias, the backend is supposed to receive the inbound message, identi...
To check whether alias reply handling in SimpleLogin was actually misrouting replies or just behaving differently than expected, I reproduced the full inbound reply flow in the development environment. I did not modify any repository source files. Instead, I used a temporary tracing script (which I removed afterward) t...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Root-cause analysis
[{"id": "a11ec029afa1b227f1f5ecb1af18778f", "title": "1.1: Simulates an inbound email reply using a runtime mechanism such as a temporary script or SMTP injection to prove the reply-handling flow was executed.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "cd070abbcf84850487d948...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97ba9f7
I'm trying to understand how kitty's C code handles communication with the shell process it spawns. Build kitty from source and launch it. When it starts a shell, what process gets spawned, what's the PID, what's the exact command line in the process list, and what PTY device path connects them? Type echo test123 in th...
I started by looking at the kitty source code to find the relevant c files. i listed the kitty directory and saw files like `child-monitor.c`, `child.c`, `vt-parser.c` which looked important. Then I built kitty from source with the following command. ```bash cd /app && python3 setup.py build ``` and the compilation p...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "3632a68e7d318fc719b36f2fa1d224db", "title": "1.2: Reports the shell process PID (e.g., numeric format like 5597).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "ab625f71c7deb3de40c42da15bdb5b85", "title": "1.3: Reports kitty holds PTY master device (e.g., /dev/pts/ptmx,...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba99a
I am onboarding onto this repo and integrating an experiment assignment client into my feature. I need to understand how it behaves around failure handling and caching, but first make sure the package tests are passing. I heard the client is designed to never throw exceptions, but I want to verify this. What actually ...
To understand how the experiment assignment client behaves, I first ran the package test suite and then created test scripts to observe actual runtime behavior for each scenario. Running the package test suite: ```bash cd /app/packages/explat-client && yarn test ``` Output: ``` PASS src/internal/test/validations.ts...
Automattic/wp-calypso
be7e5cc641622d153040491fd5625c6cb83e12eb
ts
Code Onboarding
[{"id": "c1538a681a0933c03f7295079b05ad8a", "title": "1.1: States that the explat-client package test suite passes with all tests succeeding (e.g., 81 tests passed across 9 test suites).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "4e365042c9a1499cb24b5d53de7de8ba", "title": "...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_Automattic_wp-calypso_1.0
6905333b74f22949d97baa17
I'm investigating counterintuitive SPF/DMARC behavior in maddy. In a controlled DNS environment, several domains publish SPF: v=spf1 -all. I expect consistent rejection, but I'm seeing that when a DMARC policy exists, an SPF fail can sometimes be deferred and the message is accepted. Please reproduce this behavior and ...
I was able to reproduce the behavior by running a real `maddy` process built from this repository, pointing it at a temporary config, and using a controlled DNS resolver override so SPF/DMARC lookups are fully deterministic. I didn't modify any tracked files in the repo; everything I created for the reproduction (DNS ...
foxcpp/maddy
26452dd8dd787dc455278b0fdd296f4a5432c768
go
Root-cause analysis
[{"id": "78229d33517bfdd0d8d2e0c50e846273", "title": "1.1: Reports Case A post-DATA SMTP response line is `550 5.7.23 SPF authentication failed (msg ID = <id>)`", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "7ec5db5062895bd2c55691cb87ed8278", "title": "1.2: Reports Case B post-D...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_foxcpp_maddy_1.0
6905333b74f22949d97ba9cc
I'm onboarding to this Scapy codebase and want to understand how it decides where to send packets. Set up Scapy from the repository and start an interactive session. I'm wondering how Scapy figures out which network interface to use when I send a packet without explicitly specifying one. And once it picks an interface,...
I started by exploring the Scapy codebase to understand how it decides where to send packets. First I tried loading Scapy from the repo: ```bash cd /app && python -c "import sys; sys.path.insert(0, '.'); from scapy.all import *; print('Scapy loaded successfully'); print('conf.iface:', conf.iface); print('conf.route:')...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Architecture & system design
[{"id": "940ccee04e8d5a1691fe2ef5db434e29", "title": "1.2: Identifies that interface selection is determined by routing table lookup for the destination (e.g., interface chosen via route lookup, uses conf.route.route() for destination, packet.route() determines interface)\n", "annotations": {"type": "positive hli verif...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9c6
I'm onboarding into the Scapy repository and trying to understand how packet dissection works under the hood. When Scapy takes in raw bytes from a capture, something figures out where Ethernet ends and IP begins, where IP ends and TCP starts, and so on down the stack. I want to see this happening at runtime with a real...
I started my investigation by creating a test script to observe Scapy's packet dissection at runtime. The core mechanism lives in the Packet class defined in scapy/packet.py, where the dissect method orchestrates the parsing of raw bytes into structured layer objects. To understand how layers hand off to one another, ...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Architecture & system design
[{"id": "118bb19bb9999410fb1d601252ed599f", "title": "1.1: Explains how Scapy determines layer boundaries during dissection (e.g., payload_guess list, guess_payload_class method)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "a62dc5d082bcdd71c21ca375cca5023e", "title": "1.2: Rep...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9d6
I’m trying to get a practical understanding of how OCR behaves in paperless-ngx at runtime, especially in cases where it’s hard to tell what the system is actually doing. When I upload an image that has no embedded text, how can I see that OCR has started, and what does the document’s processing state look like while i...
I investigated OCR runtime behavior in paperless-ngx by setting up the environment and examining the processing pipeline. I started the development server: ``` cd /app/src python manage.py runserver 0.0.0.0:8001 ``` Output: ``` [2025-12-31 11:55:01,987] [INFO] [django.utils.autoreload] Watching for file changes wit...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Architecture & system design
[{"id": "91d9fe5aa8f98e04fde7313c1554170d", "title": "1.1: Reports WebSocket status messages (e.g., STARTING, WORKING, SUCCESS) as runtime signals indicating OCR progress", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "28c5c14b7d8e35e95f813d9f5949e792", "title": "1.2: Identifies ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba9a5
I am debugging intermittent validation failures during custom alias creation that don't match the expected behavior, which seems related to how signed suffixes are verified. When attempting to create custom aliases with invalid or expired signed suffixes, what exact HTTP status codes and error messages appear in the AP...
I started investigating the intermittent validation failures during custom alias creation by first examining the codebase to understand how signed suffixes are verified, then running the server and making targeted API calls to observe the exact responses and log entries. Looking at the custom alias creation endpoint, ...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Root-cause analysis
[{"id": "4fea28eae25c40d186ae1a3c52a410ca", "title": "1.1: States that creating a custom alias with an expired signed suffix returns HTTP 412 Precondition Failed with the JSON error {\"error\":\"Alias creation time is expired, please retry\"}, since expiry is enforced during signature validation.\n", "annotations": {"t...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97ba9f0
I want to get a clear picture of what happens when Kitty starts from this commit, before the terminal is ready for a shell. Set up a virtual framebuffer (Xvfb) to attempt headless execution and when Kitty launches, which systems start up on the way to a working terminal, and what do you actually see on screen or in log...
To investigate Kitty's startup behavior before the terminal is ready for a shell, I first need to set up a virtual framebuffer for headless execution as requested in the prompt. I'll start Xvfb on display :99 with a 1024x768x24 screen configuration. Command to start Xvfb (skip if already running): ``` pkill Xvfb 2>/de...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "74eebae1a3b87a3fbbf2d2cc9c9256af", "title": "1.1: Reports Kitty checks /etc/xdg/kitty/kitty.conf as system-wide configuration first, then ~/.config/kitty/kitty.conf as user configuration, demonstrating configuration source hierarchy.", "annotations": {"type": "positive hli verifier", "importance": "must have"}...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97baa0d
I've been trying to understand how TruffleHog's detection pipeline actually works at runtime and there are a few things I can't figure out just from reading the source. When the engine initializes with the default detector set, how many unique keywords get loaded into the Aho Corasick trie and do multiple detectors end...
So, I started by exploring the trufflehog repo and building the tool to run some experiments. I wanted to understand how the detection pipeline works internally. First I built the binary by running ```bash go build -o trufflehog . ``` then I wrote a small go program to analyze the aho corasick trie and count unique key...
trufflesecurity/trufflehog
e42153d44a5e5c37c1bd0c70e074781e9edcb760
go
Architecture & system design
[{"id": "08bccbcbb991f255b59ba41422acf1d0", "title": "1.1: Reports unique keywords loaded into the Aho-Corasick trie (e.g., 914 unique keywords).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "724e9b054add476163455ff283bd09b5", "title": "1.2: Reports keywords shared by multiple ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_trufflesecurity_trufflehog_1.0
6905333b74f22949d97baa11
I'm onboarding onto this foxcpp/maddy mail server checkout and want to understand DKIM signing by observing a real execution path. Temporary scripts and configs outside the repo are fine, but do not modify repository files and do not use web search, only what you can verify by building and running this code. If you bui...
I built the `maddy` binary outside the repository and ran `maddy version` to capture the required verbatim output. The output I observed was `maddy unknown (built from source tree)`. For a single concrete DKIM signing investigation, I used selector `s1` and domain `example.com`, kept RSA key generation at the default ...
foxcpp/maddy
26452dd8dd787dc455278b0fdd296f4a5432c768
go
Code Onboarding
[{"id": "8b7b9ab5ac8363178b83ed43b64f5a41", "title": "1.1: States the verbatim `maddy version` output as `maddy unknown (built from source tree)`.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "33292e64a8351dd8adc9ccadc93b4190", "title": "1.2: States the observed ed25519 base64 ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_foxcpp_maddy_1.0
6905333b74f22949d97ba9dd
I need to understand how Paperless-NGX processes a document from ingestion through indexing before I start working with the codebase. Set up the full environment and get all services running normally. Drop a small test file into the consumption directory and follow what happens. What log messages appear when the system...
I set up Paperless-NGX from the provided repository on this system by cloning it into `/app`, and I treated the current `HEAD` as the reference point (recorded via `git rev-parse HEAD`) so that all behavior I observed corresponds to this specific commit and to the default Docker-based deployment, without modifying any ...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Architecture & system design
[{"id": "b10c69e920dbcc318524b4d827b7393e", "title": "1.1: States that all required Paperless-NGX services (webserver, worker, scheduler, broker, and db) were confirmed to be in the 'Up' state", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "c339ced75ffac83d1e9aae77c14f50cc", "tit...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97baa25
I’m onboarding onto the k6 codebase and I keep getting tripped up by where “the real options” come from when a test starts. In practice people mix export const options in the script with CLI flags and sometimes a config file, and I’ve seen confusing cases where VUs, duration, or even scenario settings seem to “win” fro...
The place where k6 decides what “the real options” are is the config consolidation pipeline in the "cmd" package, not in the scheduler itself. The loaded test path in "cmd/test_load.go" explicitly logs “Consolidating config layers…” and calls "getConsolidatedConfig()", and the result then flows through derivation and v...
grafana/k6
ddc3b0b1d23c128e34e2792fc9075f9126e32375
go
Code Onboarding
[{"id": "f3d4939b29fe64654977d42cac136265", "title": "1.1 Reports runtime output showing CLI flags overriding script exported options for a load setting (e.g., scenario summary showing 3 VUs for 1s when the script declares different vus/duration)", "annotations": {"type": "positive hli verifier", "importance": "must ha...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_k6_1.0
6905333b74f22949d97ba9c4
I’m evaluating how this Scapy codebase represents and encodes protocol fields, especially for IPv4. Using a simple IPv4 packet that sets a destination address, a TTL value, and at least one flag, serialize it in a running environment and report the total byte length of the resulting bytes and the first few bytes in hex...
I began by exploring the Scapy codebase structure to understand how IPv4 protocol fields are represented and encoded. I listed the main scapy directory: ``` ls /app/scapy ``` ``` __init__.py arch autorun.py compat.py contrib error.py interfaces.py main.py packet.py plist.py route6.py ...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Architecture & system design
[{"id": "8c23a46519a610b883afed72704a2d2a", "title": "1.1: Reports the serialized IPv4 packet length as 20 bytes, demonstrating it treated the packet as a minimal IPv4 header without options.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "9d2bc1934bc2e67dd1041827c20fbb73", "titl...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9be
I want to understand how Maddy actually enforces sender identity and message authentication at runtime, without relying on assumptions from reading the source or configuration documentation. Set up Maddy from this repository with a working submission endpoint that requires authentication, DKIM signing enabled for at l...
I started by setting up a minimal Maddy configuration to test sender identity enforcement and DKIM signing behavior. The goal was to observe actual runtime behavior rather than infer from code or documentation. First, I created the necessary directory structure and generated a DKIM key pair for signing: mkdir -p /tmp...
foxcpp/maddy
26452dd8dd787dc455278b0fdd296f4a5432c768
go
Security
[{"id": "02d52fa7a4b9c0755f78e99ef6b86db9", "title": "1.1: States that Maddy enforces sender restrictions at the domain level via source blocks, not at the individual user level.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "ff2625ecf30ad58a99617e096cd64860", "title": "1.2: Sta...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_foxcpp_maddy_1.0
6905333b74f22949d97ba9e9
I am trying to get a practical understanding of how kitty handles complex Unicode at runtime, especially in cases where the screen state is hard to reason about just by reading the code. When the terminal receives a stream of zero width joiners that form a multi codepoint emoji, how does the internal screen buffer deci...
When kitty receives a stream containing zero width joiners that form multi-codepoint emoji sequences, the terminal processes each character through width calculation and combining character handling logic. The core width calculation happens in the wcswidth_step function in kitty/wcswidth.c, which processes characters s...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "c57f3a7f52492b46f98cd717d46bb639", "title": "1.2: States that the wcswidth_step function in kitty/wcswidth.c handles character width calculation by processing characters sequentially", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "3101b2d3289e83ccab471f56647277c4", "titl...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9a4
I'm trying to understand what actually happens when SimpleLogin is started locally in development environment. I'm wondering how the backend starts up in dev mode, how configuration is loaded, which log messages indicate that it's ready to accept requests, and what ports or endpoints it exposes. I’m interested in how...
I started by setting up the environment and launching the server: ``` $ cp example.env .env $ source venv/bin/activate $ python server.py ``` The console output during startup was: ``` >>> URL: http://localhost:7777 MAX_NB_EMAIL_FREE_PLAN is not set, use 5 as default value Paddle param not set WARNING: Use a temp di...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Code Onboarding
[{"id": "411d8099d7c827203f3da724155ecef2", "title": "1.1: Reports how the backend is started in local development mode (e.g., dev command used or process entry point observed at runtime).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "cfd6ef99868ffed1bea4e9cc52f0a6e5", "title":...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97ba9dc
I'm getting inconsistent OCR results when testing paperless-ngx locally with multi-page PDFs and need to understand the processing behavior better. Get the development environment running normally (create admin user if needed during setup), then upload a multi-page PDF through the standard interface that requires OCR p...
I've completed comprehensive testing of paperless-ngx's OCR processing behavior with multi-page PDFs by reproducing the full document consumption flow in the development environment. I did not modify any repository source files. Instead, I set up the necessary services and used the actual API endpoint to upload a test ...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Root-cause analysis
[{"id": "878a8e1460c2afab9e0e8e95450c434e", "title": "1.1: Reports HTTP response status code after uploading the document is 200 OK.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "f3f8d09ad6e165c6c27d563eeaa3fd25", "title": "1.2: Reports HTTP response message body after uploadin...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba9b3
I’m onboarding into Grafana running locally for the first time, but the startup process feels more revealing than I expected. When the server launches and the logs start streaming by, there’s clearly a moment where everything flips from initializing to actually ready, and I want to understand how that moment announces ...
I started by building and running Grafana to observe its actual startup behavior. ``` $ make build-go ``` ``` Output: go run build.go build Version: 9.2.0, Linux Version: 9.2.0, Package Iteration: building grafana ./bin/linux-amd64/grafana ``` With the server binary built, I started Grafana and captured the startup...
grafana/grafana
4550cfb5b72886782d9a3e6cf995f8dbd57ca4ff
ts
Code Onboarding
[{"id": "9634d61087eac268b51d045597f1d1eb", "title": "1.1: Reports that the HTTP server ready signal contains 'HTTP Server Listen' (e.g., msg=\"HTTP Server Listen\" in the log output)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "f25d01edafa219bc80d512727782e542", "title": "1.2...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_grafana_1.0
6905333b74f22949d97baa2c
I've been evaluating SFTPGo's support for file synchronization tools and I'm having trouble understanding how the security model works when external utilities get invoked. The documentation mentions that certain operations can be enabled or disabled, but I can't get a clear picture of what happens between when a client...
I started digging into how SFTPGo handles external utilities like rsync, and pretty quickly found myself looking at the parseCommandPayload function in sftpd/ssh_cmd.go. What caught my attention was how simple the parsing logic is, it just uses strings.Split on spaces. I wanted to see what this actually means in practi...
drakkan/sftpgo
44634210287cb192f2a53147eafb84a33a96826b
go
Security
[{"id": "eb46241d2a01313307abb232ef877d3c", "title": "1.1: Explains how the security model works when external utilities are invoked (e.g., command parsing, argument handling, execution flow)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "27dd2b5624515c358574a94eb753b0e9", "titl...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_drakkan_sftpgo_1.0
6905333b74f22949d97ba9d9
I'm trying to understand how paperless-ngx actually handles background processing when it ingests documents. I want to see what happens at runtime, not just read the config files. Can you help me make sense of how async work behaves in a live setup? I’m interested in what services are involved behind the scenes, how b...
Paperless uses Django Q for background task processing with Redis as the message broker. This architecture allows the web application to remain responsive while heavy operations like OCR processing and document indexing happen asynchronously in the background. Three services coordinate background work as defined in do...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Architecture & system design
[{"id": "d47d2298e2047016c3db8002c1c811a6", "title": "1.1: States that Django-Q is the background task execution framework used at runtime.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "b602a917cb2b78eb70c5f486f95c85ec", "title": "1.2: States that Redis is the message broker co...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97baa24
I am investigating the internal orchestration of Grafana k6, specifically how the go engine manages VUs. What are the exact log messages that appear when a ramping executor with at least 5 VUs receives a sigint. While the system is shutting down, what is the specific log evidence that shows whether currently active VUs...
I started by exploring the K6 codebase to understand how VU management works. The ramping executor implementation is in ramping_vus.go and VU lifecycle management is handled in vu_handle.go. To investigate the shutdown behavior with a ramping executor, I created a test script with 5 starting VUs and ran it, then sent S...
grafana/k6
ddc3b0b1d23c128e34e2792fc9075f9126e32375
go
Root-cause analysis
[{"id": "576dbddedf87e5f4489d13c23ebf9fbe", "title": "1.1: Reports the log messages that appear when a ramping executor with at least 5 VUs receives a SIGINT (e.g.: \"Stopping k6 in response to signal...\", \"Metrics emission of VUs and VUsMax metrics stopped\" etc).", "annotations": {"type": "positive hli verifier", "...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_k6_1.0
6905333b74f22949d97baa0f
I was scanning a file containing both a raw AWS access key and the same key as Base64-encoded, and I got confused by the output. Sometimes TruffleHog reported the secret twice with different decoder types, sometimes it reported an overlap error, and sometime it deduplicated down to a single result. The behaviour seemed...
I started by exploring the trufflehog repository structure to understand how it's organized. I ran the following commands. ```bash ls -la /app ``` and found the main directories including `pkg/decoders`, `pkg/engine`, and the compiled `trufflehog` binary. then, I examined the decoders package to understand the decod...
trufflesecurity/trufflehog
e42153d44a5e5c37c1bd0c70e074781e9edcb760
go
Root-cause analysis
[{"id": "5a5aecf9e9880f0bcee1be24dead2cfd", "title": "1.1: States the decoder execution order as UTF8/PLAIN first, followed by Base64, UTF16, EscapedUnicode.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "26f2d2df2ed6cab6739d78651a24b17a", "title": "1.2: Identifies the deduplica...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_trufflesecurity_trufflehog_1.0
6905333b74f22949d97ba9bf
I'm trying to understand how Scapy behaves at runtime when constructing and working with packets. Start Scapy normally and build a simple multi-layer packet such as an Ethernet/IP/TCP stack. While doing that, observe what Scapy displays about the packet as each layer is added and how the final structure looks before se...
When I start Scapy, it imports its layer and utility code, emits the TripleDES deprecation warnings from `ipsec.py`, prints the ASCII banner, and hands me an IPython prompt with `scapy.all` preloaded. Internally, `from scapy.all import *` has already executed and `conf` is initialized with `conf.iface`, `conf.route`, d...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
API & library usage / integration
[{"id": "523d4fbc3184d2312d76cdd19d7069af", "title": "1.3: States the tree-form output produced by pkt.show() for an Ethernet/IP/TCP packet to show which fields are unset before serialization (e.g., `###[ IP ]###\\n ihl = None\\n len = None\\n chksum = None`).", "annotations": {"type": "positive hli verifier", "importa...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9a7
I want to understand how SimpleLogin processes multi step workflows at runtime. In scenarios where a mailbox verification code is submitted incorrectly multiple times in succession, what observable state changes and enforcement mechanisms does the running system apply? Trace the actual runtime behavior to determine wh...
I started by exploring the SimpleLogin codebase structure to trace the three multi-step runtime workflows requested. To understand what happens when incorrect verification codes are submitted repeatedly, I first located the core verification logic in `app/mailbox_utils.py`. Running grep on the file revealed that the k...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Architecture & system design
[{"id": "2de7310f63bd36092e796efb289fe364", "title": "1.1: States that the maximum number of failed mailbox verification attempts is 3, e.g., MAX_ACTIVATION_TRIES = 3.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "3e716ef904c956d24a981bef8eea6543", "title": "1.2: States that fa...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97baa1a
I'm onboarding to this MinIO server repository, and I don't just want to know that "the server starts", I want to understand how a fresh local setup actually behaves when it's used like a small S3‑compatible deployment. Can you get a single‑node MinIO server instance running in a typical local development setup and sho...
I started by exploring the MinIO repository to understand how to set up a local development server. The repository contains a pre-built `minio` binary, which made getting started straightforward - no compilation needed. I wanted to see exactly what happens when you run MinIO for the first time and use it for basic S3 o...
minio/minio
c07e5b49d477b0774f23db3b290745aef8c01bd2
go
Code Onboarding
[{"id": "0517ab8296e2982e63d392d7dfeac806", "title": "1.1: Reports HTTP status codes returned for each operation such as bucket creation, upload, or listing (e.g., HTTP 200 OK)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "2e346800a53ef7f5769cdae1d3f5762e", "title": "1.2: Repor...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_minio_minio_1.0
6905333b74f22949d97ba9d8
I am debugging non-deterministic failures in the document classification tests and want to understand how the machine learning pipeline behaves during test execution when training and OCR. I want to observe whether the classifier reuses an existing model or retrains during the same test run, and how that affects later ...
I investigated non-deterministic failures in document classification tests to understand how the machine learning pipeline behaves at runtime when model training, OCR, and asynchronous task execution interact during a single test run. I ran the classifier test suite with verbose output to observe runtime behavior. ``...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Root-cause analysis
[{"id": "5a407e5f6a0a3758613e5f114de3857b", "title": "1.1: Identifies that DocumentClassifier uses SHA1 hash comparison (self.data_hash vs new_data_hash) in the train() method as the retraining decision mechanism", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "b191112f53ebe68b6b9...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97baa15
We are getting complaints from users that emails take forever to be bounced when the destination server is unreachable, and I am trying to figure out exactly how long they should expect to wait. Our queue is configured with default settings, and I have a batch of around 500 messages going to a server that takes about 2...
When messages accumulate in the Maddy email queue waiting to be delivered to an unreachable server, the timing behavior is governed by several interconnected mechanisms in the queue module. I started by examining the source code to find the exact configuration values, then ran tests to verify my understanding. First, ...
foxcpp/maddy
26452dd8dd787dc455278b0fdd296f4a5432c768
go
Root-cause analysis
[{"id": "0510b4c8de82b0480bb6c86e5889cb56", "title": "1.1 Explains how parallel processing limits concurrent deliveries to 16 (e.g., buffered channel semaphore, worker pool, goroutine limit, or similar concurrency mechanism)\n", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "2e2f8...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_foxcpp_maddy_1.0
6905333b74f22949d97baa0b
I'm seeing different numbers of secret findings when scanning the same directory with TruffleHog's CLI versus using its Go API directly from a small program in this repo. The CLI filesystem scan reports more findings than the API-based scan, and this discrepancy is consistent across runs. I want to understand what caus...
I’ll start with the request to investigate how the secret detection pipeline behaves when the scan is launched via the CLI versus when it is launched via a minimal Go program using the API, and to explain why the two can return different counts at runtime. I first ran both the CLI and a minimal API program against the...
trufflesecurity/trufflehog
e42153d44a5e5c37c1bd0c70e074781e9edcb760
go
Root-cause analysis
[{"id": "cad31ee9aaa73b1ea1290d4cbe3a8b19", "title": "1.1: Identifies that both the CLI and Go API invoke the same underlying detection engine implementation, since differing results must be explained by configuration or integration differences rather than separate engines.", "annotations": {"type": "positive hli verif...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_trufflesecurity_trufflehog_1.0
6905333b74f22949d97ba9d5
I’m trying to understand how data moves through Paperless-NGX during normal document ingestion so I can get oriented before working on the codebase. When Paperless-NGX is running from this repository at the specified commit and a new document appears in the system, what observable runtime behavior shows how the documen...
To understand document flow through Paperless-NGX, I ran a complete ingestion test with a text file and observed the runtime behavior at each stage. First, checking the baseline database state: ```bash cd /app/src python3 -c " import sqlite3 conn = sqlite3.connect('/app/data/db.sqlite3') cur = conn.cursor() cur.exec...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Architecture & system design
[{"id": "3af30ac39de4a27ac8d6edc57332efe4", "title": "1.1: States that a log message indicates a file is being added to the task queue (e.g., 'Adding /path/to/file.txt to the task queue')", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "53a358f5c6c5b975abc2ede39a1d4c4b", "title": ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba9cd
I’m seeing confusing TCP stream reconstruction behavior in Scapy around retransmissions / overlapping TCP segments, and I want to verify what Scapy actually reconstructs at runtime (not a theoretical explanation). In this repo checkout, reproduce a minimal flow where an application payload is split across multiple TCP ...
I reproduced the TCP overlap/retransmission scenario end-to-end: wrote pcaps to disk, then read them back offline through TCPSession/HTTP reassembly. I ran two variants-one where the overlap carries identical bytes and one where it carries different bytes-to see exactly what Scapy reconstructs at runtime. Then I traced...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Root-cause analysis
[{"id": "5a6c349bdf7c5ffde018a328d710b586", "title": "1.1: Shows the final merged result by reporting the reconstructed byte stream with numeric length for Variant 1 (identical overlap) from sniff(offline=..., session=TCPSession).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "b...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9a2
I'm onboarding onto this repo and want to understand the testing infrastructure before I start contributing. Start the development server to confirm it works, then focus on the test environment. What does the test environment look like when it boots up compared to normal development? Run some tests and show me which gl...
I approached this by running things and watching what actually happens instead of trusting assumptions. First I started the development server to confirm it works: npm run start Output: > wp-calypso@18.13.0 start > npx check-node-version --package && node bin/welcome.js && yarn run build && yarn run start-build ...
Automattic/wp-calypso
be7e5cc641622d153040491fd5625c6cb83e12eb
ts
Code Onboarding
[{"id": "7c9438c547a68a20bca4428475141d88", "title": "1.1: Shows evidence that the development server was started (e.g., server startup output or URL binding)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "e6f4bbe760c52b16b7fca83d2d2e0377", "title": "1.2: Shows evidence of runni...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_Automattic_wp-calypso_1.0
6905333b74f22949d97baa01
I am onboarding to kitty repository and I want to understand how the kovidgoyal/kitty repo behaves when using the choose-fonts kitten, especially whether a font selection is remembered across restarts. I wonder how to start a single kitty instance with default settings, after building the repo and how to invoke the cho...
To understand how the choose-fonts kitten works in the kitty terminal, I started by figuring out how to run a kitty instance with isolated settings. Since the kitty repository is already built at `/app`, I can use the binaries directly from `/app/kitty/launcher/`. The key insight is that kitty respects the `KITTY_CONFI...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Code Onboarding
[{"id": "94ca87060beb0c8b8fc6910cb9a04e8d", "title": "1.2: States that kitty can be launched as a single isolated instance using flags such as --single-instance and --instance-group", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "a294c2017e3341b0344384ebd7092458", "title": "1.3: ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97baa16
I’m trying to get onboarded to this repo and wonder how Maddy’s module system actually comes together when the server starts, especially in configurations that mix SMTP and IMAP endpoints. At first glance, the configuration file looks declarative and order independent, but something more subtle seems to be happening be...
I started by building Maddy to examine its module initialization sequence firsthand. ``` $ go build -o maddy ./cmd/maddy ``` To understand how the module registry gets populated, I traced through maddy.go and found that Go's init functions run before main, registering every module type with the global registry. The m...
foxcpp/maddy
26452dd8dd787dc455278b0fdd296f4a5432c768
go
Code Onboarding
[{"id": "f5e0149e274c69c408cdccedbcac8f5f", "title": "1.1: States that during config parsing, module instances are created via factory functions (e.g., RegisterInstance stores the module and config together without calling Init).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "45...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_foxcpp_maddy_1.0
6905333b74f22949d97ba9ca
I'm onboarding to this Scapy codebase and want to understand how the automotive diagnostic protocols handle message segmentation. Set up Scapy and load the ISO-TP module from the automotive contrib packages. I'm wondering what happens if I try to send a diagnostic payload that's larger than what fits in a single CAN fr...
I started by checking if Scapy was already installed and confirming the version to ensure I was working with the expected codebase. ```bash cd /app && python3 -c "import scapy; print(scapy.__version__)" ``` Output: ```text 2.5.0.dev87 ``` Scapy version 2.5.0.dev87 is installed and ready. Next, I explored the ISO-TP ...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Code Onboarding
[{"id": "e1dd59a08a5ae84650aaa1486d27e3f9", "title": "1.3: Reports the number of CAN frames generated for 20-byte payload (e.g., 3 frames total, 1 First Frame plus 2 Consecutive Frames, three frame sequence)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "ae92325785bfb87dc6b2e647...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba999
I'm investigating some unexpected caching behavior in this monorepo's state management system. I have a component that retrieves filtered data from a central store, and I'm seeing stale results being returned in certain conditions even after the underlying data has changed. I need to understand the precise comparison m...
To investigate the caching behavior in this monorepo's state management system, I executed multiple test runs to observe runtime behavior for each aspect of the caching mechanism. First, running the full test suite: `yarn test-packages --testPathPattern="packages/tree-select" --verbose` Output: ``` PASS packages/tre...
Automattic/wp-calypso
be7e5cc641622d153040491fd5625c6cb83e12eb
ts
Root-cause analysis
[{"id": "913456a0170072968fe0ea550fc8cb85", "title": "1.1: States that cache hits are determined by comparing dependent objects by reference identity and matching cache keys via a string comparison mechanism.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "806da52791fc1c99c4ae128...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_Automattic_wp-calypso_1.0
6905333b74f22949d97ba9c3
I'm trying to wrap my head around how Scapy handles checksum computation and caching when you build packets, and I keep getting confused about when fields get recalculated versus when they're cached. So here's what I want to understand: if I create a basic IP/TCP packet with some payload but don't explicitly set the ch...
I investigated Scapy's checksum computation and caching behavior by creating test scenarios that examine exactly when checksums are computed, whether they are cached, and how packet modifications affect the final byte output. The key insight is that Scapy uses lazy evaluation for auto-computed fields, only calculating ...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
API & library usage / integration
[{"id": "6cdbc1ea836aabf00af7dbc0602c8172", "title": "1.1: Shows the IP checksum value within a complete packet hex dump (e.g., 0x0D0F at bytes 10-11)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "581f0cea90ea65d3952ed37866711a0f", "title": "1.2: Shows the TCP checksum value in...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97baa04
Hey, I'm trying to understand how Kitty behaves when it launches a program that runs normally and exits without an error. Consider a scenario where Kitty starts a very simple program that prints a few clear lines to standard output and then exits with status zero. I want to understand the complete flow from the child ...
To understand how Kitty handles a child program that exits successfully, I built Kitty from source using python3 setup.py build, then ran it with a simple test command. I executed a child program that prints three lines to stdout and exits with status 0. To capture the child's output (which normally goes to Kitty's in...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "312beeca3904932915578c85acbc90db", "title": "1.1: States that Kitty's own process exits with status code 0 when the child program exits with status 0.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "69a366b9159874e8d54ae28365a52c86", "title": "1.2: States the completion ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9ad
I am setting up SimpleLogin for the first time and I want to confirm that the platform is actually working the way it should when everything is running locally. After starting the system what should I notice in the logs or UI that shows the app is ready to handle user authentication and alias based email activity? Onc...
I start by bringing the main Flask app up with the real configuration and proving it is actually serving requests. From `/app` that typically looks like: ```bash cd /app CONFIG=/app/example.env python server.py # or, if you have a venv: # CONFIG=/app/example.env /app/venv/bin/python server.py ``` With that process ru...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Code Onboarding
[{"id": "c1960f5557e42c0c296f74866ac48f04", "title": "1.1: Reports that a GET request to /health returns \"success\" with HTTP 200.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "3e13cf8801d03c7101d10cc0b956f533", "title": "1.2: Reports that requesting / returns an HTTP 302 redi...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97ba9bd
I'm onboarding into the Scapy repository and trying to get an idea of how DNS name compression really works when packets are parsed and rebuilt at runtime. When a DNS response arrives with names that fold back on themselves through compression pointers, how does Scapy unravel that chain of references into a readable do...
I started investigating how DNS name compression works in Scapy by examining the core decompression function dns_get_str in layers/dns.py. When a DNS response arrives with names that fold back on themselves through compression pointers, the unwinding begins in this function, which gets called whenever the DNSStrField.g...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Architecture & system design
[{"id": "e9df54489df8737e45a5478ddd99f009", "title": "1.1: Shows the observed step-by-step trace of what happens from raw bytes entering DNS layer to fully resolved name emerging (e.g., offset-by-offset decompression showing each label extraction and pointer following)", "annotations": {"type": "positive hli verifier",...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9cb
I’m new to the Maddy repository and trying to get a real feel for whether its SMTP server holds up against message boundary confusion when it is actually running and talking to real clients. When a client plays games with line endings or sends data that almost looks like the end of DATA, I want to understand what you a...
I approached this as a runtime question first, because the behavior you care about only shows up when a live SMTP session crosses the boundary between DATA mode and command mode. I started by getting a clean baseline for the repository with a full test run so I knew I was not chasing a broken build. ``` $ go version g...
foxcpp/maddy
26452dd8dd787dc455278b0fdd296f4a5432c768
go
Root-cause analysis
[{"id": "cd6c2a8506b1c1c3c33e74e7fd616eac", "title": "1.1: Identifies the DATA completion boundary signal (e.g., 354 reply, 250 OK queued, accepted log entry)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "879d0e938eb627d8a2c910b0d0f53ef0", "title": "1.2: Reports the baseline pa...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_foxcpp_maddy_1.0
6905333b74f22949d97baa1c
I am onboarding to this repo and want to understand how MinIO's healing process makes decisions when the cluster state is ambiguous. With a 4-disk erasure coded instance, I'm curious what happens when an object ends up in an inconsistent state across disks , some disks have data, some have corrupted data, some have not...
I started by exploring the MinIO healing codebase to understand how it makes decisions when cluster state is ambiguous. With a 4-disk erasure-coded instance using the default EC:2 configuration (2 data blocks + 2 parity blocks), I needed to determine the exact behavior through actual test execution rather than just rea...
minio/minio
c07e5b49d477b0774f23db3b290745aef8c01bd2
go
Code Onboarding
[{"id": "5929c555dc34520715228a89cf36ce33", "title": "1.1. States that MinIO reconstructs objects when the number of valid shards is greater than or equal to the read quorum (e.g., 'healing succeeds when valid shards >= data blocks' or 'reconstructs if at least read quorum shards exist').", "annotations": {"type": "pos...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_minio_minio_1.0
6905333b74f22949d97ba9ac
I'm investigating a production issue where users report inconsistent behavior when emails are forwarded through SimpleLogin aliases. I need to trace the actual email processing flow to understand what's happening. When the email handler processes an incoming email to an alias, I want to observe, what is the exact log m...
I started by exploring the codebase to understand the SimpleLogin structure. I ran a directory listing to see what files were available. ``` ls -la /app ``` Here is the observed output: ``` total 656 drwxr-xr-x 17 root root 4096 Jan 2 10:39 . drwxr-xr-x 3 root root 4096 Jan 2 10:39 .. -rw-r--r-- 1 root root ...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Root-cause analysis
[{"id": "178374a62e908c46048ae9e7e39dfda9", "title": "1.1: Reports the SMTP status message returned when an email is forwarded to an existing alias (e.g., 250 Message accepted for delivery)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "c3532af0a31a116714cc60b1919419c7", "title"...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97baa26
I am trying to understand why some k6 scripts behave fine in init but then start failing once the test is actually running with a lot of VUs, especially when code tries to load modules dynamically instead of only at startup. When the runtime is under pressure, does k6 intentionally “freeze” module resolution after init...
The behavior you are seeing with k6 scripts that work during init but fail during VU execution when trying to load modules dynamically is by design. k6 intentionally freezes module resolution after the initialization phase completes, and this is enforced through a locking mechanism in the module resolver combined with ...
grafana/k6
ddc3b0b1d23c128e34e2792fc9075f9126e32375
go
Root-cause analysis
[{"id": "b51b0db60ed7a799aa1683ffc0eebd06", "title": "1.1 Includes k6 log output with timestamp format (e.g., 'time=\"2026-...\" level=info msg=\"VU ...status=200\"') showing a VU using a module imported during init.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "c0aa69ae7b4aa32...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_k6_1.0
6905333b74f22949d97ba9fc
I am trying to understand how kitty moves data between its core and the Python kittens when a lot is happening at once. Clipboard data can be small or very large, and it has to cross from internal screen structures into Python objects. What does that transfer look like in practice, especially when other parts of the sy...
I began investigating how kitty moves data between its core C structures and Python kittens by examining the handler architecture and running verification scripts to observe runtime behavior. Data transfer between kitty's core C structures and Python kittens involves crossing the boundary between native code and the P...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "0304e0f629c4a531a2ce0c690c63c0a2", "title": "1.1: Reports how data transfers from C structures to Python kittens (e.g., Handler class callbacks, _initialize method parameters)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "9572c748438e90977b242053d62ff9b2", "title": "1....
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9bc
I'm investigating a performance issue in the Grafana repository where alerts seem to linger longer than expected after their underlying time series disappear, and I need to understand the full lifecycle of how stale series get detected and resolved. When an alert is firing across multiple series and some of those serie...
I investigated the staleness detection and resolution lifecycle in Grafana's unified alerting system by examining source code and running tests to observe actual runtime behavior. The investigation addresses all aspects of how stale series get detected, resolved, and how the notification system handles them. 1: Stalen...
grafana/grafana
4550cfb5b72886782d9a3e6cf995f8dbd57ca4ff
ts
Root-cause analysis
[{"id": "e9f635de8b6fb476c77dfda37c5cecf9", "title": "1.1: Reports the target state as Normal and reason code as MissingSeries for stale series\n", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "626ab235505f240ef870a0f0eecd2536", "title": "1.2: Explains that a series becomes stale...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_grafana_1.0
6905333b74f22949d97ba9d4
I want to understand how Paperless-NGX behaves at runtime once the system is up and idle, before I start making changes to the codebase. Get Paperless-NGX running at the specified commit. Once it's idle and stable, what background processes or tasks continue executing automatically? What are the actual log entries that...
I treated the Paperless-NGX repository present in `/app` as the reference source tree and pinned all observations to the current `HEAD` commit (`542221a38dff06361e07976452f9aea24d210542`); I also recorded the working-tree state for transparency, but I did not edit any tracked source files as part of this runtime test. ...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
Architecture & system design
[{"id": "58787bb8ef42251af899fcbc7e2a9232", "title": "1.3: Includes a runtime log message showing the webserver reached a ready state, such as server ready logs or workers spawned messages.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "d99bb547b8d11192d9791e6f0516cc4c", "title"...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97ba99b
I'm investigating why some tests pass in isolation but fail when running the full suite, and I suspect it's related to how module resolution and environment setup differ across execution contexts. Run the different test commands available in this codebase. What runtime environment does each actually use during executi...
The wp-calypso monorepo provides four distinct test commands in package.json: test-client, test-packages, test-server, and test-build-tools. Each command targets different parts of the codebase with separate Jest configurations. To understand their runtime differences, I started by examining their configuration files. ...
Automattic/wp-calypso
be7e5cc641622d153040491fd5625c6cb83e12eb
ts
Root-cause analysis
[{"id": "c490f1f9efd6e4f7d5ca467b6ab15240", "title": "1.1: Identifies test-client, test-packages, test-server, and test-build-tools as distinct test commands (e.g., package.json scripts section), demonstrating that each command uses a separate Jest configuration file targeting different parts of the codebase.", "annota...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_Automattic_wp-calypso_1.0
6905333b74f22949d97baa20
I'm debugging some strange HTTP timing metrics in my k6 load test that I think might be a measurement bug or race condition. When I make multiple sequential requests to the same endpoint, the first request shows reasonable values for connecting time and TLS handshaking, but subsequent requests show exactly 0 for both o...
The HTTP timing metrics in k6's tracer component are not broken. Every behavior described in the prompt is actually intentional design with documented handling in the code. I investigated each concern systematically. First, I examined why subsequent requests show zero for connecting time and TLS handshaking. The trace...
grafana/k6
ddc3b0b1d23c128e34e2792fc9075f9126e32375
go
Root-cause analysis
[{"id": "c1c50d8fda94d10a344c2260d375ce90", "title": "1.1: Concludes that metrics can be trusted without categorizing any as fundamentally unreliable (e.g., does not label behaviors as bugs, issues to fix, or broken)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "189f444f623b44b...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_k6_1.0
6905333b74f22949d97ba9d7
I'm planning to integrate some external tools with the paperless API and need to understand how authentication works first. Get paperless running locally, create a test user, and generate an API token for them. Make an authenticated request to list documents. What's the exact HTTP header name and format paperless expec...
I ran the migrations and started the server locally and then I created a test user and got an API token: ``` cd /app/src && python3 manage.py shell -c " from django.contrib.auth.models import User from rest_framework.authtoken.models import Token user, created = User.objects.get_or_create( username='testuser', ...
paperless-ngx/paperless-ngx
542221a38dff06361e07976452f9aea24d210542
python
API & library usage / integration
[{"id": "5c71be39c07b60a13a64cc1815aa7b1e", "title": "1.1: Reports the complete documents listing endpoint as `/api/documents/`, demonstrating the exact integration path required to list documents via the API.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "88563da1f59365670800a5...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_paperless-ngx_paperless-ngx_e233ae8334038a4b615ea2e4ce663e30_qna_1.01
6905333b74f22949d97baa28
I'm debugging some unexpected quota behavior in SFTPgo, uploads are acting differently than I expected based on the documentation. Set up SFTPgo with a test user that has both file count and size quota limits configured. Upload files via SFTP until you're getting close to hitting one of those limits, then try uploading...
I started by building the sftpgo binary. I ran: ```bash cd /app && go build -o sftpgo_binary . 2>&1 ``` then i set up a test directory and created ssh keys: ```bash mkdir -p /tmp/sftpgo_test/users/testuser && mkdir -p /tmp/sftpgo_test/backups ssh-keygen -t ed25519 -f /tmp/sftpgo_test/id_ed25519 -N '' -q ssh-keygen -...
drakkan/sftpgo
44634210287cb192f2a53147eafb84a33a96826b
go
Root-cause analysis
[{"id": "4c47fbbee15758925cfbf17c16df1e1a", "title": "1.1: Reports that the file count quota enforcement triggers specifically during the initialization phase (file open/stat), causing an immediate failure response before the client begins transmitting the file body.", "annotations": {"type": "positive hli verifier", "...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_drakkan_sftpgo_1.0
6905333b74f22949d97baa1e
I'm investigating an issue in MinIO and started wondering how the erasure coding layer really holds up when drives start disappearing underneath active operations. If a drive suddenly becomes unavailable while data is flowing into the cluster, what specific error code or message does MinIO return to the client, and doe...
I started investigating MinIO's erasure coding behavior by building the server from source and setting up a test environment. To understand how the system handles drive failures, I examined both the runtime behavior and the source code implementation. ```bash go build -o minio-bin . mkdir -p /tmp/minio-data export MIN...
minio/minio
c07e5b49d477b0774f23db3b290745aef8c01bd2
go
Root-cause analysis
[{"id": "6b7974e6bde6f05d8eddf298eb28734e", "title": "1.1 Reports whether write operations succeed or fail when a drive becomes unavailable (e.g., upload completing with 3/4 drives, or write failing due to insufficient quorum)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "147c6...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_minio_minio_1.0
6905333b74f22949d97ba9ce
I'm setting up Scapy from a specific commit and want to understand how it works before diving into packet crafting. Can you start the Scapy shell and show me what the startup looks like? What version is it running? Then create a basic ICMP echo request and show me what fields get auto-populated in the IP header. What d...
Scapy’s interactive shell at this commit starts with an ASCII art banner and reports version 2.5.0.dev87. Run `scapy` to launch it. Here's exactly what you see: ``` aSPY//YASa apyyyyCY//////////YCa | sY//////YSpcs scpCY//Pp | Welcome to Scapy ayp ayyyyyyy...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Code Onboarding
[{"id": "ab3ffeaa3eb334ae27d1a4d620bb0042", "title": "1.1: States the Scapy version as \"2.5.0.dev87\" as displayed in the interactive shell startup banner, to verify the agent executed Scapy", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "24716528ed25da462c0a39b1b3e42954", "tit...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9f9
I’m onboarding into the kitty terminal emulator and trying to make sense of its personality, because it calls itself GPU accelerated yet the codebase feels like a tight weave of Python and C. I keep wondering which language is really doing the heavy lifting once everything is running, and what that says about where per...
I started my investigation by attempting to run the main entry point directly to see what would break. Running python3 __main__.py immediately failed with this traceback: Traceback (most recent call last): File "/app/__main__.py", line 7, in <module> main() File "/app/kitty/entry_points.py", line 194, in main ...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "ab55758f78769c4c9e18e75aaac1cf74", "title": "1.1: Identifies C as the language doing the heavy lifting for terminal emulation.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "48311fa9491aad8e77ec9c42af7d87c5", "title": "1.2: Explains that GLSL shaders handle GPU-accelera...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9ee
I’m onboarding into the Kitty repository and trying to get an intuitive feel for how the diff kitten actually behaves when it compares files and directories, because people say it’s fast in a way that doesn’t feel obvious at first glance. When I point it at two directories, how does it decide what belongs together, and...
I started investigating the diff kitten by running its test suite to understand how it collects and compares files. ``` $ go test -v ./kittens/diff/... === RUN TestDiffCollectWalk --- PASS: TestDiffCollectWalk (0.00s) PASS ok kitty/kittens/diff 0.00s ``` The test passes and demonstrates the core collectio...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Architecture & system design
[{"id": "aa7d4893c614247349a9bc671b511682", "title": "1.1: Explains how directory walking collects files with pattern-based filtering (e.g., walk function using filepath.WalkDir, allowed function checking glob patterns like *~ and #*#)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9c5
I'm debugging an issue with packet field calculation order in Scapy, and I need to understand what's actually happening, not just theory. I have a custom protocol layer where a checksum field depends on a length field, and the length field depends on the payload size, but the payload isn't fully known until upper layer...
When Scapy parses a packet from raw bytes or builds one from scratch, the decision to rebuild from fields versus returning cached bytes happens through the interplay of three packet attributes and the build chain in packet.py. The caching mechanism exists as a performance optimization that avoids redundant serializatio...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Root-cause analysis
[{"id": "b3027779283314ceb34dcf7e5c83249e", "title": "1.1: Identifies the three packet attributes that control caching: raw_packet_cache, raw_packet_cache_fields, and explicit.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "25bfa59f2e58162e7e22d44fc1ab5439", "title": "1.2: Expla...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97baa02
I'm investigating how kitty terminal handles shell integration markers for command tracking, specifically the OSC 133 escape sequences that programs use to mark command boundaries. I want to see what kitty does with these sequences. If I run a test program through kitty that writes OSC 133;A, OSC 133;B, OSC 133;C with...
To investigate how kitty handles OSC 133 shell integration sequences, I created a test program and ran it through kitty to observe the runtime behavior. First, I created a test script that sends OSC 133 sequences: ``` cat > /tmp/test_osc133.py << 'EOF' import sys sys.stdout.write('\x1b]133;A\x1b\\') sys.stdout.write(...
kovidgoyal/kitty
815df1e210e0a9ab4622f5c7f2d6891d7dbeddf1
c
Root-cause analysis
[{"id": "52a5bf6bd8ee944a2abdd16daab98455", "title": "1.1: States that the OSC 133 escape sequences (A, B, C, D) pass through in the captured output unchanged.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "416748c175bde6e913b6322eb84806f8", "title": "1.2: States the total byte ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_kovidgoyal_kitty_1.0
6905333b74f22949d97ba9a6
I'm trying to get this email privacy system with anonymous aliases running for the first time and I want to understand how all the pieces fit together during initialization. The system has a web server, an email handler, background jobs, and some cron tasks. I need to set everything up from scratch and see what actual...
I started by setting up a fresh PostgreSQL database and running the Alembic migrations to understand the database schema creation process. Running `alembic upgrade head` executed 255 migration files sequentially. The migration output showed each upgrade step: ``` INFO [alembic.runtime.migration] Context impl Postgre...
simple-login/app
2cd6ee777f8c2d3531559588bcfb18627ffb5d2c
ts
Code Onboarding
[{"id": "cafbacafe9e1d880a7aa1b21c81f7924", "title": "1.1: Reports that Alembic migrations create 77 tables in total on an empty PostgreSQL database.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "dba261a1d995870ad2e825acc75d4057", "title": "1.2: Identifies the last table create...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_simple-login_app_1.0
6905333b74f22949d97baa2d
I’m onboarding into the SFTPGo repository and trying to understand how it actually comes to life when you start it up, based on what you can see happening in real time rather than what the code suggests should happen. When I launch the server without providing a configuration file, I want to watch which ports quietly...
SFTPGo Server Startup Observation - Reference Answer I started by building the SFTPGo binary and setting up a test environment to observe the actual runtime behavior. My goal was to capture what really happens when the server starts, how it handles missing components, and what appears in the logs during various scenar...
drakkan/sftpgo
44634210287cb192f2a53147eafb84a33a96826b
go
Code Onboarding
[{"id": "da7454f123ae7fd1f100b1b314029d46", "title": "1.1: Identifies that the SFTP server signals readiness via a log message indicating listener registration.", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "3a529cc6d4b5d4b6492664dcd0000fef", "title": "1.2: States that when a no...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_drakkan_sftpgo_1.0
6905333b74f22949d97ba998
I am onboarding on the Calypso codebase and trying to get the Reader section running locally so I can understand how it works. What port does the development server bind to, and how do I know when it's fully ready? Does the architecture use multiple ports for things like hot reloading and API calls, or is everything se...
I started by exploring the Calypso codebase to understand how the Reader section works locally. My first task was figuring out what port the development server binds to. I searched for the port configuration: ```bash grep -n '"port"' config/development.json ``` Output: ``` 8: "port": 3000, ``` Then I checked how t...
Automattic/wp-calypso
be7e5cc641622d153040491fd5625c6cb83e12eb
ts
Code Onboarding
[{"id": "b3f120549708e7cefe56a25b7de3e55c", "title": "1.1: States the port number the development server binds to (e.g., 3000)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "701dd1372b33fff3a58e5ce4473762d9", "title": "1.2: States how to know when the server is fully ready (e.g....
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_Automattic_wp-calypso_1.0
6905333b74f22949d97ba9c1
I want to explore how Scapy handles ICMP error messages and request-response matching at runtime. If you send an ICMP echo request to an unreachable host and receive an ICMP destination unreachable error back, how does Scapy determine whether the error response matches the original request? Does it extract the original...
I wanted to understand how Scapy handles ICMP error messages at runtime, so I started by creating a test script to observe the actual behavior. My first goal was to see if Scapy actually extracts the embedded packet from ICMP errors and how it determines whether an error response matches the original request. I create...
secdev/scapy
0925ada485406684174d6f068dbd85c4154657b3
python
Architecture & system design
[{"id": "6a52cdf55d9f213a9be012fe18261af6", "title": "1.1: Reports that Scapy extracts the embedded packet from ICMP errors (e.g., shows IPerror layer present, shows ICMPerror layer created)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "a49f00b302875bfbee0c8c5cfb9fd852", "title...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_secdev_scapy_1.0
6905333b74f22949d97ba9ba
I am investigating how Grafana manages its internal health and background once the server is initialized. I want to understand the server's idle behavior. After the server has been running for at least 60 seconds with no user requests, what are the exact recurring log entries that appear? Provide the actual log output ...
To observe the server's idle behavior, my approach was to start the Grafana server in development mode and observe the logs during the idle state. First, I started the Grafana server using the pre-built binary. ``` $ ./bin/linux-amd64/grafana-server --homepath=. --config=./conf/defaults.ini ``` After the server has b...
grafana/grafana
4550cfb5b72886782d9a3e6cf995f8dbd57ca4ff
ts
Architecture & system design
[{"id": "2f394a97419ac4156dae44797e2f9da8", "title": "1.1: Reports the recurring log entries that appear when the server is idle(e.g.: Alert scheduler notifications, usage stats, cleanup service and plugin update checker messages).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_grafana_1.0
6905333b74f22949d97ba99f
I am trying to understand how a logged out intent is supposed to survive the authentication boundary in the Reader, because right now a like clicked while signed out seems to disappear after the user finishes signup or login and returns to an authenticated view. The click clearly triggers a requires login decision, but...
I started by tracing the like button click to understand where the pending intent gets stored when a logged-out user triggers a requires-login action. The Reader logged-out like action loss is a manifestation of a fundamental state persistence gap: when a pending user action is stored only in Redux memory state without...
Automattic/wp-calypso
be7e5cc641622d153040491fd5625c6cb83e12eb
ts
Root-cause analysis
[{"id": "67f6bc22fdccdc15de0fb5a829c8d05d", "title": "1.1: Identifies the reducer location where lastActionRequiresLogin state is managed (e.g., client/state/reader-ui/reducer.js)", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "35bf052891bb649ec351bd37e5714a28", "title": "1.2: Id...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_Automattic_wp-calypso_1.0
6905333b74f22949d97ba9b5
I’m onboarding into the Grafana repository and trying to understand how alert evaluation and notifications behave when the system is under stress, because reading the code has not made the runtime behavior clear to me. When many alert rule changes arrive while evaluations are already falling behind and a data source be...
To investigate how Grafana's alert evaluation and notification system behaves under stress, I wrote a test that exercises three alert rules concurrently with different timing characteristics. One rule is slow and times out, one is fast, and one is flaky with intermittent failures. The test applies rule updates and dele...
grafana/grafana
4550cfb5b72886782d9a3e6cf995f8dbd57ca4ff
ts
Root-cause analysis
[{"id": "a4f1a49d03c6d2c7e5f82969eae9194d", "title": "1.1: Reports how the scheduler decides what to work on next (e.g., ready set returned by processTick, rule selection per tick).", "annotations": {"type": "positive hli verifier", "importance": "must have"}}, {"id": "29b9af82febcc765297f5f6033c5969e", "title": "1.2: ...
ghcr.io/scaleapi/swe-atlas:swe_atlas_QnA_grafana_grafana_1.0