SPEAKER

Developing with AI agents like Claude, Codex, or Cursor can quickly turn into a troubleshooting nightmare. All the best practices you've mastered: DDD, SOLID, or Extreme Programming, suddenly feel obsolete when a non-deterministic AI model takes the wheel.

In this talk, I'll share my journey through this chaos and how it led me to create Backlog.md, a tool that brings structure back to AI-assisted workflows. It won't solve every problem, but by breaking work into smaller, manageable tasks, it makes results more deterministic and easier to review.

We'll see Backlog.md in action, implementing the Spec-Driven AI Development flow in minutes to build features efficiently.

By the end, you'll be able to:

• Understand AI agents and how to structure tasks with Backlog.md
• Apply the Spec-Driven AI Development flow for more predictable workflows
• Use a repeatable loop to build features almost on autopilot

Backlog.md's code was written 99% by AI agents, proving the process delivers great results for developers.

P.S. No prior AI experience necessary. If you've ever typed `git pull`, you're ready!

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.