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Root-cause analysis for a PR or branch: classify feature vs bugfix, find the introducing commit (suspect set) or the blast radius.

Project description

culprit

CI PyPI Python versions License: MIT

Root-cause analysis for a pull request or branch.

culprit looks at a PR (or the current branch), decides whether it's a bugfix or a feature, then:

  • Bugfix -> reconstructs the bug's life story. It blames the lines the fix removed/changed at the base revision to rank the commits that introduced it (the suspect set), surfaces what the author was trying to do (the introducing PR/commit + any linked issue), how long it lived and which releases shipped it, whether the file is a recurring hotspot, and whether the fix is actually complete (other untouched call sites, a missing test, a revert) - then explains why it broke.
  • Feature -> maps the blast radius: who imports the changed modules, which tests cover them, and which touched files live in high-risk shared/core areas.

It is read-only - it never modifies your repo or the PR.

Example

The visual report (rca --html report.html) for a bugfix - a one-line area formula silently broken by a perf commit and shipped across three releases before it was fixed. Top to bottom: the QA risk score with its factors, the introducing commit's intent (+ linked issue), the line-evolution timeline (created -> reformatted -> broke (red) -> fix (green)), the tests to run, the co-change files you may have missed, and suggested reviewers.

culprit RCA report

A self-contained HTML file (no server, no CDN) with deep links, the introducing PR's intent, a lifecycle strip (how long it lived and the releases that shipped it), a fix-completeness callout, a test-gap callout, and expandable per-step diffs.

Why the split design

The deterministic git work (diff parsing, git blame / git log -L, the suspect set, the reverse-import map) lives in a plain Python engine that emits structured JSON. The only LLM step - the "why it broke" narrative - is isolated behind a ReasoningAdapter:

  • HarnessAdapter - used by the Claude Code skill. Returns the structured result + a markdown skeleton; the agent writes the narrative. No API key.
  • ClaudeAPIAdapter - used standalone. Calls the Claude API (claude-opus-4-8 by default, --fast -> claude-sonnet-4-6).

Same engine, two frontends.

How it works

Everything runs off one normalized context (ctx) and produces one structured result (JSON). Each step is a small, deterministic module that reads git and writes a slice of that result; the only optional, non-deterministic step is the LLM narrative.

  PR / branch ---.
  stack trace ---+--> pr_context  -->  ctx  (diff, changed files, commits, host links)
                          |
                          v
                    classify   (bugfix vs feature, with evidence)
                   /                                  \
          bugfix  v                                    v  feature
   suspect   (blame the lines the fix removed)     blast_radius
     -> evolution     (how the line evolved)        (who imports the changed code,
     -> intent / lifecycle / completeness            covering tests, high-risk modules)
     -> test_gap
                   \                                  /
                    v                                v
                  report.build  -->  QA risk score
                          |
            + test_impact . coupling . owners . coverage
                          |
                          v
   reasoning (optional LLM "why")  -->  output:
      JSON  |  HTML report  |  markdown  |  --select-tests  |  --fail-on (CI exit code)
  1. Resolve the target into ctx - pr_context tries gh, then the GitHub/GitLab REST API, then plain local git; --trace instead turns stack frames into a synthetic diff so the same pipeline can run on a crash.
  2. Classify bugfix vs feature from branch/label/title/commit signals.
  3. Analyze down one path: a bugfix gets the suspect set, line-evolution timeline, and the "bug's life story" (intent, lifecycle, completeness); a feature gets the blast radius.
  4. Score & augment - report.build rolls the signals into a QA risk score, then test impact, co-change, reviewers, and (optional) coverage are attached.
  5. Render - the structured result becomes JSON, a self-contained HTML report, markdown, a test list, or a CI exit code. The LLM "why" is the only step that needs a key.

Every step is read-only (git status is unchanged after any run) and repo-agnostic (no hardcoded paths/hosts). For the full module map and data shapes, see docs/ARCHITECTURE.md.

Install

pip install culprit            # engine + CLI (rca / culprit)
pip install "culprit[api]"     # + Claude API reasoning layer (anthropic SDK)

Or with pipx for an isolated CLI: pipx install culprit. From source: pip install -e ".[dev]" then pytest.

PR metadata uses the GitHub CLI when available: brew install gh && gh auth login. For public repos you don't even need gh - rca --pr N falls back to the unauthenticated REST API (GitHub and GitLab) for metadata plus a read-only git fetch of the PR/MR head (set GITHUB_TOKEN / GITLAB_TOKEN to raise rate limits). With neither, culprit uses local git (base vs head) - fully offline, minus PR title/labels.

Any host, any language

  • Hosts: deep links (commit / PR / file) are generated for GitHub, GitLab, Bitbucket, and Gitea; the suspect-set + line-evolution timeline work on any git repo regardless of host. For a self-hosted forge the URL can't disambiguate, so set host = "gitlab" (or github/bitbucket/gitea) in .culprit.toml, or CULPRIT_HOST.
  • Languages: suspect/timeline are language-agnostic (pure git blame/log -L). Blast-radius + test-gap detect imports across JS/TS, Python, Go, Java/Kotlin, Ruby, C/C++, C#, PHP, Rust, Scala, Swift (quoted and bare/dotted import forms).

Usage

rca                      # current branch vs the configured base (or latest commit)
rca --last               # just the latest commit ("the change I just made")
rca --pr 16786           # a specific GitHub PR (uses the PR's own base)
rca --repo /path --base main
rca --mode api --fast    # standalone reasoning via the Claude API
rca --json               # structured result only
rca --html report.html --open   # self-contained visual report (timeline UI)
rca --pr 16889 --bisect "pytest tests/test_x.py::test_y"   # confirm the suspect via git bisect
rca --pr 16889 --fail-on high   # QA gate: exit non-zero when risk is high (for CI)
rca --select-tests              # print the tests to run for this change (CI-pipeable)
rca --trace crash.txt           # RCA from a stack trace (no fix/PR/test needed)

More than a smarter git bisect

git bisect finds one introducing commit after you already have a reliable failing test. culprit is a QA tool that also works before a bug ships and from a symptom:

  • QA risk score + gate - one explainable score over test gap, fix completeness, hotspot recurrence, blast radius, and churn; --fail-on high gates CI (see above). Pass --coverage <lcov|cobertura> to replace the import heuristic with ground truth - it pinpoints exactly which changed lines are uncovered.
  • Test impact analysis - --select-tests lists the existing tests that reach the changed code (direct + transitive via the reverse-import graph). Pipe it: pytest $(rca --select-tests).
  • RCA from a stack trace - rca --trace crash.txt (or ... --trace - from stdin) parses a Python / JS / Java / Go trace, resolves the frames to repo files, and blames the crashing lines to a suspect commit - no fix, PR, or failing test required.
  • Predictive signals - co-change flags a file that usually changes with the ones you touched but is missing here ("did you forget X?"); reviewer suggestions come from CODEOWNERS + git authorship.

All of this is read-only and ships in the same self-contained HTML report.

QA risk score

Every report carries a single QA risk score (0-100, low/medium/high) that combines the signals culprit already computes - test gap, fix completeness, hotspot recurrence, blast radius, churn - into one explainable number, with the contributing factors listed (no ML, fully deterministic). --fail-on {low,medium,high} makes culprit exit non-zero when the level meets or exceeds the threshold, so it can act as a CI quality gate.

Use in CI (GitHub Actions)

culprit runs as a read-only QA gate: it generates the HTML report as a build artifact and signals risk via the exit code - it never comments on or writes to the PR. Copy examples/github-actions/culprit-pr.yml into .github/workflows/:

- uses: actions/checkout@v4
  with: { fetch-depth: 0 }          # full history for blame / git log -L
- uses: actions/setup-python@v5
  with: { python-version: "3.12" }
- run: pip install culprit
- env: { GH_TOKEN: "${{ github.token }}" }   # read-only PR metadata
  run: rca --pr ${{ github.event.pull_request.number }} --html culprit-report.html --no-save --fail-on high
- if: always()
  uses: actions/upload-artifact@v4
  with: { name: culprit-report, path: culprit-report.html }

The job fails only when the QA risk is high; the report is uploaded either way. To gate in any other CI, run rca ... --fail-on high and check the exit status.

culprit vs git bisect

Same goal - find the commit that introduced a bug - but opposite method:

git bisect culprit
Method Dynamic - checks out commits and runs a test at each Static - blames the fix's lines + git log -L
Needs a failing test? Required No
Runs your code? Yes (serial checkouts) No
Speed Minutes (~log2(N) runs) Instant
Answers "first commit where the test fails" suspect + how the line evolved + why + the introducing PR's intent + releases shipped + hotspot + fix completeness + test gap
Confidence Proof (if the test is reliable) Strong heuristic

culprit is not a reimplementation of bisect - it reasons statically from the patch and gives you the story, no test required. But when you do have a repro, --bisect "<cmd>" runs a real bisect (in a throwaway git worktree, so your checkout and HEAD are never touched) and stamps "✓ confirmed by git bisect" when the first failing commit matches the blamed suspect. The command must exit non-zero when the bug is present; --good <ref> / --bad <ref> override the search bounds (defaults: the suspect's parent and the base).

Visual HTML report

--html PATH writes a single self-contained HTML file (inline CSS/JS, data embedded, no CDN - opens offline, shareable, CI-attachable). For a bugfix it renders a line-evolution timeline: for each line the fix touched, every commit that ever changed those lines, from creation -> ... -> the commit that broke it (red) -> the fix (green), each step expandable to its diff.

rca --pr 16889 --html rca.html --open                 # narrative via --mode api if key set
rca --pr 16889 --html rca.html --narrative-file why.md # embed a pre-written narrative

The timeline needs no API key. The "Analysis" prose comes from --narrative-file (e.g. written by the Claude Code /rca skill) or from --mode api.

The report also includes: a TL;DR banner naming the prime suspect with a lifecycle strip (how long the bug lived and the releases that shipped it); the introducing PR's intent (title, linked issue, message body) on the suspect card; a fix-completeness callout (other untouched references to the changed symbols, whether a test was added, revert detection); deep links on every commit / PR / file (derived from origin); weight bars ranking the suspects; expand/collapse-all and a per-file filter for the timeline; and a one-click copy-as-markdown to paste into the PR.

Choosing the base branch

The base differs per repo (main, master, develop, a long-lived release branch, ...). Resolution order: --base <ref> -> CULPRIT_BASE env -> .culprit.toml (base = "...") -> the latest commit. The static HTML report is generated for one base (shown in the footer with a regenerate hint). For an interactive base picker, use serve mode:

rca serve --repo /path/to/repo     # opens http://127.0.0.1:8722

It launches a local web app (stdlib only - no extra deps) with a form: enter a PR/branch, pick the base from a dropdown (auto = just your latest commit, or any local/remote branch to diff your whole branch against), choose classification + reasoning, and run a fresh analysis that renders the same visual report. The base picker repopulates when you point it at a different repo.

Optional Credentials (a collapsible section on the form) let you paste a GitHub token (enables the PR field / private repos, like gh auth) and an Anthropic API key (enables the "Claude API narrative" reasoning). They're kept in the server process's memory only - never written to disk, never put in a URL (submitted via POST). Binds to localhost only.

Base branch

In local mode (no PR), culprit needs a base to diff against. Resolution order:

  1. --base <ref> on the CLI
  2. CULPRIT_BASE environment variable
  3. base = "..." in a .culprit.toml at the repo root
  4. otherwise the latest commit (HEAD~1)

So pin your repo's real base once and forget it:

# .culprit.toml
base = "origin/main"   # whatever your repo is actually cut from

--last always forces the latest-commit view regardless of config.

Tests

pip install -e ".[dev]" && pytest

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