What problem does it solve?
Identify semantic bugs, type honesty failures, and low-value or fragile tests that automated gates and linters miss, preventing subtle regressions and maintenance debt before review.
Core Features & Use Cases
- Systematically audit changed files for logic correctness, type honesty, error-handling issues, and language-specific idioms after implementation.
- Evaluate test quality using mutation survival, refactor resilience, and behavior-specification heuristics to classify tests as Muda, Fragile, or Valuable.
- Review API surface and basic security concerns, load project patterns and design context, and produce file:line findings with concrete fixes and a PASS / PASS WITH RECOMMENDATIONS / FAIL verdict.
- Use Case: Run after story implementation and automated gates have passed to catch semantic issues and test weaknesses before the retrospective.
Quick Start
Run the rai-quality-review on a completed story that passed automated gates to generate inline file:line findings, remediation suggestions, and a final verdict.