The adoption of Generative AI in software engineering has moved past "individual productivity" into the era of enterprise integration. However, this surge in throughput has shattered the traditional control perimeter: quality variance, accelerated technical debt, and an unsustainable "Review Overload" for Team Leaders have become the new normal.
In this session, we will explore the Rules–Skills–Workflows (RSW) framework, an operating model designed to address the "original sin" of GenAI: the lack of separation between instructions and data. We will see how to transform AI from a "black-box" assistant into a governed collaborator through a robust governance exoskeleton.
I will also introduce a practical solution: a tool that analyzes project context and the chosen IDE (whether Cursor, Antigravity, or others) to instantly generate a governance skeleton (the .agent/ structure). This automates the creation of passive guardrails (Rules), verified capabilities (Skills), and orchestrated procedures (Workflows), ensuring that every line of code produced is the result of a documented and approved architectural decision.