To build great products with AI, you need to know when to step in and when to step back. This workshop teaches you human-in-the-loop patterns that let you apply your taste — your judgment, your design sense, your architectural knowledge — while letting AI handle the grunt work.
What You Will Learn
- HITL and AFK Tasks — Identify which tasks need human judgment and which can be fully delegated to AI
- Kanban Over Plans — Replace rigid multi-phase plans with a flexible Kanban board of independently grabbable issues
- Using the Kanban Skill — Break a PRD into vertical slice GitHub issues with AFK and human-in-the-loop designations, then run an autonomous loop
- Research — Cache expensive explore phases into local research documents to speed up every subsequent AI loop
- Trying Out Research — Collaborate with AI to evaluate approaches, compare services, and produce a focused research asset
- Prototyping — Build throwaway prototypes to validate ideas, test services, and apply your design taste before committing to implementation
- Trying Out Prototyping — Turn research into a working proof of concept on a dev-only route using the Do Work skill
- Designing Codebases AI Loves — Structure your code into deep modules with simple interfaces so AI can navigate, test, and modify it effectively
- The Improve My Codebase Skill — Walk through your codebase to find shallow modules and refactor them into deep, testable units
- Adding Module Awareness to PRD Planning — Embed deep module thinking into your PRD skill so new features are architected well from the start