My Efficient Python Full-Stack Workflow: From AI to Deployment
2025-07-16
This post details a complete toolchain for building Python applications, honed over six months of AI development. The author shares their preferred project structure (monorepo), dependency management (uv), linting (ruff), type checking (ty), testing (pytest), data validation (Pydantic), documentation (MkDocs), API creation (FastAPI), dataclasses, version control (GitHub Actions), dependency updates (Dependabot), security scanning (Gitleaks), pre-commit hooks, automation (Make), and Docker containerization. This streamlined workflow emphasizes efficiency, code quality, and CI/CD. The author's focus on lightweight tools and a simplified approach makes this a valuable resource for full-stack Python developers.
Development
Full-Stack Development