7 prompts
Generate a production-ready GitHub Actions workflow with testing, building, Docker image creation, and deployment to your hosting provider.
Generate comprehensive unit tests covering happy path, edge cases, invalid inputs, boundary conditions, and error scenarios for any function.
Generate complete CRUD operations for any resource with model definitions, route setup, input validation, error handling, and proper status codes.
Get a complete system architecture design for any application type, with technology recommendations, trade-off analysis, and scaling strategy.
Generate production-ready Python code for data cleaning, transformation, and analysis pipelines using pandas with proper error handling.
Get a detailed line-by-line explanation of any code, with bugs identified, edge cases flagged, and improvement suggestions included.
Transform messy, deeply nested code into clean, modular, well-named functions following language-specific best practices and SOLID principles.