Engineering discipline in the age of AI. Learn to navigate real codebases, prompt with architectural context, and verify every change before it ships.
AI tools can generate code faster than ever. But speed without understanding is dangerous. Developers who skip architecture, ignore blast radius, and blindly accept AI output are building systems they can't maintain.
This workshop teaches the missing layer: the engineering discipline that makes AI-generated code production-ready. You're not learning tricks. You're building architectural literacy for the AI era.
A closed-loop system for making safe, verified changes to production codebases with AI.
Map the codebase manually using VS Code's Peek References, Call Hierarchy, and Outline view. Understand before you change.
Analyze contracts and blast radius. Classify changes and estimate impact before writing a single line of code.
Prompt Claude Code with architectural context — constraints, dependencies, and scope boundaries that prevent hallucinations.
Preview every change visually in Fork. See exactly what the AI modified, line by line, before anything gets committed.
Execute with confidence. Run tests, validate contracts, and verify that the change matches your intent.
Review and commit. Use Fork's staging tools to craft clean, atomic commits that tell a story.
Every step in the workshop reinforces this cycle. No step gets skipped.
Scope the problem and set boundaries
Map the codebase in VS Code
Feed context to Claude Code
Inspect every diff in Fork
Clean commit and push
Watch a preview of the live session — see the tools, the workflow, and how it all comes together.
Nathan has spent years building production systems and integrating AI into real engineering workflows. This workshop distills that experience into a repeatable framework you can use on day one.
Learn more about Nathan →Workshop-aligned articles on AI-augmented engineering, production discipline, and the future of development.
AI writes code faster than ever. But the skill it's quietly eroding is the one that matters most.
A structured approach to prompting that keeps AI grounded in your codebase reality.
The mental model every developer needs before making changes to production systems.
75 seats. One Saturday. The engineering discipline that separates professionals from prompt-and-pray developers.