Abstract
You tried GitHub Copilot, ChatGPT, even Claude. But instead of productivity gains, you got messy code and frustrated teams.
The problem isn't the AI. It's the approach. Most developers are 'vibe coding': throwing random prompts at AI hoping for magic. That's not agentic engineering.
In this live demo, I'll code a real feature in half the usual time, showing what separates vibe-coding from professional agentic engineering. You'll see how treating AI as a co-worker is just the beginning. The real power comes from teaching AI your architecture patterns and engineering practices.
Engineers will discover why their AI attempts felt frustrating and master techniques to make AI accelerate their work. CTOs will learn to guide their teams from AI-skeptics to engineers whose changes reach users sooner, at the same quality.
Three takeaways
- Sub-agents that research, plan, test, and review.
- Context engineering that keeps your agent focused.
- Test-driven development with AI. Red. Green. Refactor.