coderabbit-core-workflow-b

# CodeRabbit Core Workflow B: Learnings & Tuning ## Overview After initial CodeRabbit setup (Workflow A), this skill covers tuning review quality through learnings, code guidelines, tone customization, and noise reduction. CodeRabbit improves over time by learning from your team's feedback patterns and custom rules. ## Prerequisites - CodeRabbit installed and producing reviews (see `coderabbit-core-workflow-a`) - Several PRs worth of review history - Understanding of team coding standards ## Instructions ### Step 1: Configure Code Guidelines CodeRabbit automatically detects coding rules from standard config files in your repo. It also reads AI agent configuration files for additional context. ```yaml # Files CodeRabbit auto-detects for coding rules: # - .eslintrc.* / eslint.config.* (JavaScript/TypeScript rules) # - .prettierrc / prettier.config.* (Formatting rules) # - biome.json / biome.jsonc (Biome linter rules) # - .cursorrules (Cursor AI rules) # - CLAUDE.md (Claude Code instructions) # - .editorconfig (Editor settings) # - .rubocop.yml (Ruby style) # - ruff.toml / pyproject.toml (Python rules) # Add custom guidelines file: # Create docs/CODING_STANDARDS.md with your team's rules # Then reference it in .coderabbit.yaml: ``` ```yaml # .coderabbit.yaml - Custom code guidelines reviews: knowledge_base: code_guidelines: auto_detection: true ...