Ship a Full-Stack Python App in 6 Weeks
For Python developers who design systems, not just prompts
AI generates code. What it can't do is architect it, debug it when it breaks in unexpected ways, or know when a pattern will cause problems three weeks later.
This program is about that layer: design decisions, testable structure, and the judgment that makes software maintainable.
Accurate mental models of databases, design patterns, GitHub Actions, and deployment workflows come from using these tools regularly. Reading about them isn't the same as wiring them up in a real codebase.
You build a full-stack application using patterns experienced engineers reach for: repository pattern, TDD, three interfaces (CLI, API, web) sharing one clean core. Six weeks of building, coaching, and iterating. You finish with a deployed app and the mental model to build the next one.
Who is this for?
You're comfortable with Python but your systems aren't where you want them: hard to test, hard to change, hard to reason about. You can generate code with AI, but you want to understand what you're building well enough to own it.
Time commitment: 6–8 hours per week.
What you'll build
A full-stack snippet manager, from data layer to cloud deployment, with three interfaces sharing the same core logic.
Architecture that transfers
Repository pattern with swappable backends, ABCs for clean interfaces, layered service design. Patterns you can apply to future Python projects, not just this one.
3 interfaces, 1 codebase
CLI with Typer + Rich, a FastAPI REST API, and a NiceGUI web frontend. You don't rewrite logic for each interface. You wire the same core into each one.
Tests included, and expandable
A test harness is provided so you can focus on building. You run it, learn from it, and extend it if you want to go deeper. By the end you'll have 150+ tests and understand what they're actually covering.
Program overview
What you build, week by week
Foundations
- Project setup with uv
- Data model with SQLModel
- pytest fundamentals & coverage
- Code quality: ruff + ty
- Git workflow & GitHub
Architecture
- Repository pattern & ABCs
- In-memory & database backends
- Swap storage without changing logic
- Custom exception handling
- pytest deep dive
Features
- Test-Driven Development in practice
- Search & filter functionality
- Favorites system
- Tagging system
- Bonus: JSON repository backend
CLI Interface
- Environment variables & config
- Typer CLI framework
- Rich terminal output
- CLI testing strategies
- Bonus: run code directly from snippets
API & Frontend
- FastAPI fundamentals
- REST API design patterns
- FastAPI testing
- NiceGUI web frontend
- Bonus: third-party integrations
Ship It
- Docker containerization
- Cloud deployment
- GitHub Actions & CI/CD
- PyPI publishing
- Documentation
Tech stack: Python 3.12+, SQLModel, FastAPI, Typer, Rich, Docker, PostgreSQL, Ruff, uv
Why this transfers to better code at work
This program teaches the architecture layer most tutorials skip entirely.
- Repository pattern: swap SQLite for PostgreSQL, or add a JSON backend, without touching your business logic. Design pattern thinking that transfers to future projects.
- Test-driven development: You work from a given test suite and write additional tests; 100+ tests built up over six weeks.
- Three interfaces, one core: CLI, API, web. The same design discipline that makes real software maintainable.
- Deployment confidence: Docker, CI/CD, cloud deployment. From localhost to a working production app.
You leave able to architect Python systems from scratch and recognize when existing code violates the patterns you now know.
What's included
Coached by Bob Belderbos: 10+ years building support and developer tooling at Sun/Oracle, creator of Pybites Platform and Rust Platform (500+ Python + Rust exercises), and 6+ years coaching 150+ developers through production-grade Python programs.
- Weekly coaching call
- Detailed code review via GitHub pull requests
- Professional, portfolio-ready project on GitHub
- Structured 6-week curriculum
- Access to invite-only community
Price: €1,000 · Duration: 6 weeks · Enrollment: Start anytime
What developers say
"The program was exactly what I needed to level up my Python skills. I had taken several tutorials before that taught me Python syntax, but this program went beyond that. It taught me how to build, package, and deploy a production-ready application. I learnt how to write clean, maintainable code using modern tools and workflows."
— Rahul M., Senior Manufacturing Test Engineer
"Very comprehensive and taught me exactly what I needed for my new project at work. Bob did an amazing job mentoring best practices of modern Python and code reviewing. Highly recommended!"
— Ben L., Software Developer
"I shipped Snipster, a CLI + API app for managing code snippets, while sharpening my skills in FastAPI, SQLModel, testing, deployment, and architecture. The consistent feedback and weekly momentum made it easier to stay focused and build clean, testable code."
— Ben G., Data Engineer
"Learned a lot in the program. Well structured and challenging. Coaching boosted my progress a lot."
— Frederick M., Senior System Engineer
"Confidence comes from doing. I just finished the program, and I feel more confident than ever as a developer."
— Brandon B., Software Developer
"I have a long list of unfinished projects. This project has been different. In less time, I've completed more than ever before."
— Kishan P., Data Engineer
Frequently asked questions
What level do I need to be? Intermediate: comfortable with Python basics, have used Git, and ideally built something small before.
What if I fall behind? We'll adjust. The weekly call keeps you accountable, and I review your code throughout the program.
Do I need my own project idea? No. The Snippet Manager is fully scoped with room for extensions. You follow the curriculum while making it your own.
Will this help my portfolio? Yes. You walk away with a deployed full-stack application with 100+ tests, professional architecture, and multiple interfaces: CLI, API, and web.
How do I get started? Book your free call and we'll talk through whether this is the right fit for where you are now.
What comes after this program? A natural next step after Snipster is a custom 1:1 program to build your own project idea from scratch, applying the same architecture foundation and workflow to something you're genuinely motivated by. If you want to go deeper on Rust or AI, the Rust and AI cohorts are a natural extension from solid Python foundations.
In 6 weeks, you'll ship a full-stack app with architecture you're proud to present in a code review.