Heard about Claude Code, Cursor, AGENTS.md, or MCP but still hitting walls? This talk takes you from zero to a simple, efficient way to organize work for AI agents. We move from vibe coding slop to a Spec-Driven AI Development loop using Backlog.md, a CLI that keeps tasks as markdown in your repo with clear context and acceptance criteria. Backlog.md was built 99% by AI agents and has 3k+ GitHub stars, proof that the loop works.
I’ll show the flow I used to build Backlog.md, the lessons learned, the DOs and DON’Ts, and how I went from a frustrating 50% task success rate to almost 100% in about a month. We connect instruction load to agent reliability and use that to split work into tasks that land.
We’ll look at how Agentic Coding changes Agile in practice: which core values stay, what must change, and the new bottlenecks. You leave with a clear way to plan and parallelize work across agents, with tasks sized to what agents can follow, and why tools like Backlog.md mark the start of a new Agile process.
We finish with an open question for the room: how do we keep humans in the loop in the new AI era?
P.S. You won’t need any prior agent experience.
Alex Gavrilescu leads backend & web engineering at Funstage GmbH in Vienna, keeping millions of free‑to‑play gamers happily tapping. He still ships code, tinkers with Raspberry Pi Kubernetes clusters for fun, and is passionate about weaving project‑management smarts with practical AI. Most recently he created Backlog.md, a micro‑tool that turns side‑project chaos into shippable tasks.
