Code Review Assistant (Python)

Quick start

• Read the full code to understand intent, architecture, and interactions before commenting.
• Check style, correctness, edge cases, efficiency, security, and maintainability.
• Provide concise, actionable feedback grouped into strengths, issues/risks, and suggestions.
• Include inline code snippets when helpful; ensure recommendations explain the why.
• Follow references/code_review_rules.md for the review checklist and output format.

Workflow

1. Understand

   • Identify the module’s purpose, main flows, and dependencies.
   • Note assumptions, data shapes, and external interactions.

2. Assess quality and correctness

   • Validate logic against intent; check edge cases, error handling, and state changes.
   • Verify PEP 8 compliance, naming, imports, and type hints.
   • Look for dead code, mutable defaults, and duplicated logic.

3. Evaluate design and efficiency

   • Check function/class responsibilities, cohesion, and complexity.
   • Consider algorithmic complexity and data structure choices; flag inefficiencies.
   • Ensure configuration/secrets are not hardcoded and that dependencies are isolated.

4. Security and safety

   • Identify risky patterns: unsafe I/O, injection risks, use of eval/exec/pickle, or leaked secrets.
   • Recommend safer alternatives when applicable.

5. Testing and output

   • Check test coverage, mocking of I/O, and CI hooks if visible.
   • Produce the review using the output format in the rules doc with grouped strengths, risks, and suggestions.

Reference

• references/code_review_rules.md: detailed checklist and response format for Python code reviews.