While AI can write code, the real value for developers lies in guiding the AI with strong design principles. Most AI interactions aren’t about fixing functionality—they're about restructuring, organizing, and improving the architecture of the code. Developers who understand clean design, separation of responsibilities, and scalable system structure will be far more effective than those who simply accept the first draft the AI produces.
As AI becomes more integrated, a developer’s skill will increasingly be measured by how well they can direct AI coding assistants—steering them toward robust, maintainable solutions. Even though AI writes a lot of the code, humans still need to understand core design fundamentals to avoid creating messy, unmanageable systems.
This repository contains materials for a 2-day hands-on hackathon teaching developers how to leverage GitHub Copilot for agentic development workflows.
| Document | Description |
|---|---|
| README-21and22.md | Agenda, workshop overview, lesson summary, and quick start guide for Apr. 21 & 22 |