Code Review Checklist
Get a thorough code review with security, performance, and style feedback.
Use long-context Claude prompts to review code, reason through bugs, improve architecture, and create clear engineering plans.
Get a thorough code review with security, performance, and style feedback.
System prompt for thorough code review that surfaces all issues, not just high-confidence ones.
Analyzes code smells and creates a safe, incremental refactoring plan with test coverage requirements.
Get a structured architecture review with trade-off analysis for your system design.
Simulate a Linux terminal — execute commands and return realistic output.
Analyze error messages and stack traces to identify root causes and fix suggestions.
Analyze performance profiling data and recommend optimizations.
Identify and prioritize technical debt with a remediation roadmap.
Generate comprehensive unit tests for a given function or module.
Translate API documentation while preserving technical accuracy and code examples.
Design a normalized database schema from business requirements.
Generate Docker Compose configurations for multi-service applications.
Generate clear, conventional commit messages from diff descriptions.
Generate clear, conventional commit messages from diff descriptions.
Generate and explain regular expressions from natural language descriptions.
Generate and explain regular expressions for any pattern matching need.
Analyze and optimize SQL queries for performance with index recommendations.
Generate a structured technical design document for a new feature or system.
Translate technical documentation while preserving terminology consistency, code examples, and technical accuracy across languages.
Generates comprehensive API documentation with endpoint specs, request/response examples, authentication, and error references.
Designs a comprehensive error handling strategy with custom error types, propagation rules, and user-facing messages.
Designs a feature flag implementation strategy with naming conventions, rollout stages, and kill switch procedures.
System prompt to keep AI agents working until tasks are fully complete.
Designs an API versioning strategy with migration paths, deprecation policies, and client compatibility rules.