As AI agents become increasingly capable, the challenge for software teams shifts from using AI to orchestrating it responsibly.

This talk explores how AI Augmented Engineering can be applied across multiple phases of software development — from refinement to review — by combining Context Engineering with purpose-built AI agents. Each agent operates with a clear responsibility, explicit boundaries, and structured hand-offs.

We open the hood on real-world implementations: how agents are configured, how context is preserved between steps, and how humans stay in the loop as gatekeepers rather than passive observers.

The result is a pragmatic alternative to "vibe coding": a controllable, auditable, and scalable way of integrating AI into professional software engineering.