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# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json
language: "en-US"
early_access: false
reviews:
profile: "assertive"
request_changes_workflow: false
high_level_summary: true
poem: false
review_status: true
collapse_walkthrough: true
auto_review:
enabled: true
auto_incremental_review: true
auto_pause_after_reviewed_commits: 0
drafts: false
base_branches:
- ".*"
ignore_title_keywords:
- "[skip review]"
- "WIP"
ignore_usernames:
- "dependabot[bot]"
- "renovate[bot]"
path_filters:
- "!**/dist/**"
- "!**/node_modules/**"
- "!website/dist/**"
path_instructions:
- path: "packages/cli/src/**"
instructions: |
Review Agent Note CLI changes against AGENTS.md and docs/engineering.md.
Focus on git hook safety, git notes persistence, prompt selection, attribution correctness,
and the invariant that Agent Note must never break a user's git commit.
- path: "packages/cli/src/agents/**"
instructions: |
Check adapter-specific behavior for Claude Code, Codex CLI, Cursor, and Gemini CLI.
Verify event parsing, transcript handling, synchronous hook stdout requirements,
and compatibility with existing agent tests.
- path: "packages/pr-report/src/**"
instructions: |
Review PR report changes for Markdown safety, hidden reviewer-context safety,
stable GitHub Action behavior, and compatibility with repositories outside Agent Note.
- path: "packages/dashboard/**"
instructions: |
Review Dashboard changes for static GitHub Pages compatibility, safe rendering of
untrusted note JSON, preserved historical PR data, and avoiding external runtime dependencies.
- path: "website/**"
instructions: |
Review documentation for implementation accuracy, natural language, locale parity,
and clear separation between user-facing guidance and maintainer details.
- path: ".github/workflows/**"
instructions: |
Review workflow changes for least-privilege permissions, fork/PR safety,
GitHub Pages artifact behavior, and release reproducibility.
- path: "docs/**"
instructions: |
Review maintainer docs for accuracy against current implementation and usefulness
as durable context for future AI coding agents.
chat:
auto_reply: true