AI-Powered Development Course

Course Curriculum

1. 1

   Format

   Three weeks of recorded lectures (Weeks 1, 2, and 4) with live Q&A support running the whole way through, so questions don't pile up until the end. Two hands-on workshops (Weeks 3 and 5) where you build instead of watch. The bonus week is open format - a mix of Q&A, practical patterns, and real cases pulled from how teams are actually using this stuff.

2. 2

   Fundamentals

   Week 1 covers how LLMs actually work: tokenization, context windows, log probabilities, and why the same prompt gives different results at different temperatures. Understanding these mechanics changes how you write prompts.

3. 3

   Developer Tools

   Cursor, Claude Code, and Kilo side by side - what each one actually does well, where each breaks down, and when you'd pick one over the other. The goal is making an informed choice, not picking the tool with the best marketing.

4. 4

   Integration Workshop

   You build an MCP server from scratch that connects Claude Code to an external API. The same week covers Claude Code hooks and agent skills - the parts of the toolchain most developers skip because they look optional until they've wasted enough time without them.

5. 5

   Development Methodologies

   Week 3 probably went slower than expected. This week explains why. Spec-driven development, vibe coding, and BMAD aren't competing philosophies - they're different tools for different situations, and knowing which to use stops a lot of debugging loops before they start.

6. 6

   Production Integration

   What changes when AI-assisted development moves from one person's laptop to a team's shared workflow. Cost tracking, LLM observability, security policy, and local model deployment - the parts nobody explains until something breaks or the API bill arrives.

7. 7

   Bonus Materials

   Bonus material for the situations the main curriculum doesn't have room for: working in large codebases, team-wide AI configurations, visual workflow tools like cc-wf-studio and CCW, and coding on mobile. Optional, but worth reading if any of those are a current problem.

8. 8

   What You'll Walk Away With

   Two graded take-home submissions, so you're proving you can apply this, not just watch it. By the end you'll have solid foundational knowledge of how to develop with AI assistance - what pitfalls it can create and where it actually pays off.