ai-qa-review

Before starting: Check for .agents/qa-project-context.md in the project root. It contains test framework conventions, naming patterns, and project-specific quality standards that calibrate review feedback.

Discovery Questions

1. Review scope: Reviewing test code for quality, application code for testability, or both? Each triggers different analysis patterns.
2. Framework conventions: What test framework (Jest, Vitest, Playwright, pytest)? Conventions differ -- describe/it nesting, fixture usage, assertion style.
3. PR review or batch audit? A PR review focuses on changed files. A batch audit scans the entire test suite for systemic patterns.
4. Existing quality standards: Does the team have documented test conventions? Check for .eslintrc test rules, CONTRIBUTING.md test guidelines, or a test style guide.
5. Known pain points: Are there recurring problems -- flaky tests, slow suites, unclear failures? These prioritize which smells to focus on first.

Core Principles