SPEAKER

AI coding agents are powerful, but they often feel unpredictable. Without structure, they can jump into implementation, miss requirements, or generate code you can’t easily track. Spec-driven development is a practical approach that brings order to this process.

The method is simple: start with clear, high-level requirements, refine them into a detailed development plan, then break that plan into a task list with trackable steps. The AI agent works from these artifacts—requirements.md, plan.md, and tasks.md—instead of ad-hoc prompts. Each step becomes explicit, reviewable, and repeatable.

In this talk, I’ll show how to apply spec-driven development and explain my intuition for this approach. We’ll walk through an example: documenting requirements, generating a plan, creating tasks, and guiding the AI through execution one step at a time. Along the way, you’ll see techniques for controlling workflow, reviewing changes, and avoiding “black box” code generation.

If you’ve tried coding with AI tools but found them chaotic, this session will give you a framework to make them reliable partners.

We are witnessing a fundamental shift in software engineering. As AI

agents become capable of generating entire features, the bottleneck is

no longer writing syntax—it is defining intent. This evolution brings

Spec-Driven Development (SDD) back into the spotlight, not as a

bureaucratic documentation step, but as the primary interface for

software creation.

In this panel, we explore the reality of building software when you're

pair programming with an LLM. We will discuss the architectural

implications of moving from imperative coding to declarative

specifications. How do we define unambiguous requirements for

non-deterministic agents? Does "prompt engineering" evolve into rigorous

system design? Join us to discover if the Spec is truly the new Source

of Truth, or just another layer of abstraction to maintain in a world

where code is becoming a commodity.