Abstract
You tried GitHub Copilot, ChatGPT, Claude, but got messy code and frustrated teams. The problem isn't AI, it's the approach. Most developers 'vibe code': throwing random prompts hoping for magic. Others use rigid workflows with predefined steps. True agentic engineering uses feedback loops: agents evaluate outcomes and decide their next actions dynamically.
In this live demo, I'll build a feature inside a legacy app with a coding agent that analyzes context, proposes solutions, and iterates based on test results. Delivering fast with quality.
Three takeaways
- Understand the complete agentic engineering process: how to make AI agents true teammates that comprehend your codebase, architecture, and engineering culture.
- Experience through live coding how professional developers achieve measurable gains: ideas that reach users sooner, less rework and improved code quality.
- Visualize your new development reality: AI agents that participate in code reviews, understand your domain model, and can implement features following your team's specific patterns.