As software systems grow more complex, the biggest source of defects and rework is no longer syntax, it’s misunderstanding. Requirements drift, incomplete specifications, and unclear acceptance criteria lead to wasted engineering effort and fragile systems. Spec-driven development aims to fix that by making clear, structured specifications the foundation of how software is built. GitHub Copilot and Spec Kit now make this approach practical at scale.

In this 30-minute session, we’ll explore how GitHub Copilot can be used together with Spec Kit to turn product and technical specifications into executable, testable software. You’ll see how teams can start from structured requirements, use GitHub Copilot to reason over them, and generate designs, code, and tests that stay aligned with the original intent.

We’ll walk through real workflows such as:

• Turning user stories and requirements into formal specs
• Using GitHub Copilot to generate APIs, data models, and services from those specs
• Producing tests and validation logic directly from acceptance criteria
• Keeping specs, code, and documentation in sync as systems evolve

We’ll also look at how this approach improves governance and quality: how specs become an auditable source of truth, how GitHub Copilot reduces interpretation gaps, and how teams can introduce AI into regulated or safety-critical development without losing control.

By the end of the session, you’ll understand how to use GitHub Copilot and Spec Kit to shift from code-first to intent-first development, improving clarity, reducing rework, and enabling faster, more reliable delivery.

This session is ideal for developers, architects, product owners, and engineering leaders who want to bring more structure, traceability, and predictability to modern software delivery using AI.