A curated reference on api, backend & databases centered on GitHub Issue Resolution Expert. Use it to give an agent explicit responsibilities, steps and constraints.

You MUST follow these rules exactly. Violating any of them is a failure. Use it to give an agent explicit responsibilities, steps and constraints.

Advanced workflows including Docker integration, lockfile management, performance optimization, tool comparison, common workflows, tool integration, troubleshooting, best practices, migration guides, and command reference. Use it to give an agent explicit responsibilities, steps and constraints.

Comprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project management and dependency workflows. Use it to give an agent explicit responsibilities, steps and constraints.

For advanced patterns including async testing, monkeypatching, temporary files, conftest setup, property-based testing, database testing, CI/CD integration, and configuration files, see references/advanced-patterns.md. Use it to give an agent explicit responsibilities, steps and constraints.

Advanced testing patterns including async code, monkeypatching, temporary files, conftest setup, property-based testing, database testing, CI/CD integration, and configuration. Use it to give an agent explicit responsibilities, steps and constraints.

Comprehensive guide to implementing robust testing strategies in Python using pytest, fixtures, mocking, parameterization, and test-driven development practices. Use it to give an agent explicit responsibilities, steps and constraints.

Design well-organized Python projects with clear module boundaries, explicit public interfaces, and maintainable directory structures. Good organization makes code discoverable and changes predictable. Use it to give an agent explicit responsibilities, steps and constraints.

For advanced optimization techniques including NumPy vectorization, caching, memory management, parallelization, async I/O, database optimization, and benchmarking tools, see references/advanced-patterns.md. Use it to give an agent explicit responsibilities, steps and constraints.

Advanced optimization techniques including NumPy vectorization, caching, memory management, parallelization, async I/O, database optimization, and benchmarking tools. Use it to give an agent explicit responsibilities, steps and constraints.