python-architect

Design a production-grade Python library by applying a src/ layout, robust exception hierarchy, and SOLID principles. This provides expert architectural guidance to ensure long-term maintainability and prevent common design pitfalls.

The best way to scaffold pyproject.toml and testing strategies is using standardized templates and checklists that ensure production readiness and achieve >90% coverage for public APIs.

Applying SOLID principles improves Python API design by facilitating decision-making regarding package organization and adherence to PEP standards, ensuring long-term maintainability and a superior developer experience.

Yes, you can review an existing Python project structure for maintainability improvements. The skill evaluates your current package organization and suggests architectural changes to enhance long-term scalability.

You need to establish an exception hierarchy when starting a new Python library to prevent technical debt. Defining a robust exception hierarchy early ensures production readiness and professional-grade error handling.

Without architectural guidance, standardizing Python library packaging often leads to common design pitfalls and technical debt. Relying solely on basic packaging misses SOLID principles application and structured API design needed for maintainability.