Learn Foundations of AI Coding
It's time.
The first step in Systems Thinking behind effective AI coding
Simply put, AI has profoundly changed what it means to build software. The code is no longer the hard part. There’s still a hard part, of course, but AI fundamentally shifted what that is.
I focused “Foundations of AI Coding” on benefiting from that shift and thriving as a developer instead of being on the defensive. Your focus is now is systems thinking.
We’ll build iteratively, pairing with the agent and see that better prompts are not the way forward for serious work. We’ll build feedback loops, tests, static analysis, context management, development guidelines, and specs.
The goal isn’t to “master AI coding” in one course, but to see how each layer changes the quality and reliability of what the agent produces.
This is the beginning of the journey toward serious AI-assisted development.
Building an agentic harness is the highest leverage thing you can focus on right now.
This is the first step – Foundations of AI Coding
The essential getting-started guide coding agentically. Quite opinionated, and naturally built on Java and Spring Boot 🙂
And a great way to stop thinking defensively about AI.
2. The Rebuilds
7 LESSONS ~ 4 HOURS
- Vibe Coding
- Structuring the Prompt
- Our First Feedback Loop – Integration Tests
- A New Feedback Loop – Code Analysis
- Managing Context (preview lessons)
- Adding Dev Guidelines
- Adding Structured Specs
The lessons are practical, hand-0n coding, building a real-world project – a Jira-like app.
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I believe strongly in the quality of the course material to teach you the fundamentals of the library. I’ve put a lot of work and care into the material and hope you’re going to use it and to develop and maintain your applications.
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