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To generate production-ready code, you need an expert-level approach that designs clean module boundaries, implements robust error handling, and provides unit and integration test stubs alongside the core logic. This ensures maintainability and accelerates code review.

Designing a secure REST API requires clear architecture justification, comprehensive error management, and explicit edge-case handling. The process should yield code scaffolding, architecture diagrams, and documentation to accelerate developer onboarding and ensure system robustness.

Yes, this approach applies to designing and implementing backend services, APIs, libraries, and system components across various languages and frameworks. It provides opinionated architecture and developer-ready deliverables tailored to your specific technical stack.

Documenting software architecture trade-offs involves generating review notes and justification for design choices alongside the code. This delivers clear explanations of module boundaries and implementation decisions to accelerate onboarding and maintainability.

Generated code lacks maintainability when it fails to establish clean module boundaries and robust error management. Applying an expert-level architecture persona ensures self-explanatory code, comprehensive error handling, and clear trade-off explanations.

Yes, this code generation method provides unit and integration test suggestions alongside the implementation. It ensures comprehensive test coverage by generating test stubs and addressing edge-case handling for new APIs and backend services.