What problem does it solve?
It helps you quickly identify genuine code quality issues and non-compliance with your project’s review guidelines, reducing regressions and reviewer thrash.
Core Features & Use Cases
- Project-guideline compliance review: Checks adherence to explicit rules (style, conventions, error handling, naming, imports, framework practices) using the project’s stored constitution/instructions.
- High-confidence bug detection: Finds actual functional, security, and reliability problems (logic errors, missing critical handling, race/performance issues) while filtering out likely false positives.
- Severity-scored reporting: Outputs only issues with confidence ≥ 80, grouped by criticality, with file paths, line numbers, and concrete fix suggestions.
Use Case: Reviewing a pull request where you want assurance that changes follow .specify/memory/constitution.md/CLAUDE-style rules and don’t introduce subtle correctness or robustness bugs.
Quick Start
Ask the AI to review your current changes for only high-confidence guideline and bug issues using the speckit-review-code skill.