python-anti-patterns
Common Python anti-patterns to catch during code review and debugging.
- Covers 14+ anti-patterns across infrastructure, architecture, error handling, resources, type safety, and testing with before/after code examples
- Includes a quick review checklist and summary table for fast reference during code reviews
- Focuses on practical fixes: centralized retry logic, DTOs, repository pattern, specific exception handling, and async-native libraries
- Emphasizes validation at API boundaries, context managers for resources, and comprehensive test coverage beyond happy paths
Python Anti-Patterns Checklist
A reference checklist of common mistakes and anti-patterns in Python code. Review this before finalizing implementations to catch issues early.
When to Use This Skill
- Reviewing code before merge
- Debugging mysterious issues
- Teaching or learning Python best practices
- Establishing team coding standards
- Refactoring legacy code
Note: This skill focuses on what to avoid. For guidance on positive patterns and architecture, see the python-design-patterns skill.
Infrastructure Anti-Patterns
Scattered Timeout/Retry Logic
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