AI-Enabled SDLC: Building Smarter without losing Control

AI tools like GitHub Copilot are changing the way we write code but our workflows haven't caught up yet. In this talk, we’ll explore a practical, developer-first approach to software delivery that integrates AI in a structured, transparent, and repeatable way.

You'll learn how to implement the AI-Enabled SDLC, a workflow designed around three core documents: spec.md, plan.md, and status.md. These documents guide Copilot from intention to implementation while keeping humans firmly in the driver’s seat.

We’ll walk through the methodology, examine it's pros and cons and how it compares to traditional practices.

This session includes a live demo showing the initial setup of the workflow using GitHub Copilot Chat inside your IDE.

Whether you're curious about AI tooling or already using it daily, this talk offers a grounded, flexible framework for making Copilot not just helpful but also accountable.

Takeaways:
A structured but adaptable approach to integrating Copilot into real-world development
Concrete techniques to improve clarity, traceability, and team alignment
Lessons learned from using this method in production
Ideas for extending this process into collaborative team environments