#quality

Conduct thorough code reviews with this checklist. Areas to review: 1. Functionality (does it work as intended? edge cases handled?). 2. Code quality (readable, maintainable, follows style guide). 3. Tests (adequate coverage, meaningful assertions). 4. Performance (no obvious bottlenecks, efficient algorithms). 5. Security (input validation, no SQL injection, XSS prevention). 6. Documentation (comments for complex logic, README updates). 7. Error handling (graceful failures, logging). 8. Dependencies (necessary, up-to-date, no vulnerabilities). Use constructive feedback. Suggest improvements, don't just criticize. Automate with linters. Aim for 200-400 LOC per review. Balance thoroughness with speed.

Write effective unit tests with TDD approach. TDD cycle: 1. Red (write failing test). 2. Green (write minimal code to pass). 3. Refactor (improve code while keeping tests green). Best practices: Test one thing per test. Use AAA pattern (Arrange, Act, Assert). Descriptive test names (should_returnTrue_when_inputIsValid). Mock external dependencies. Aim for 80%+ code coverage. Fast tests (<1 sec). Independent tests (no order dependency). Use test fixtures for setup. Frameworks: Jest, Pytest, JUnit. Benefits: confidence in changes, living documentation, better design.