Backlog.md was built 99% by AI agents, with humans setting vision and reviewing work. In this workshop you learn why specs as markdown in your repo are a game-changer and you practice the simple loop I use. I demo the 3-way review process and the steps that took Backlog.md past 3k GitHub stars.
First half: why Backlog.md works out of the box for agents, the CLI and web UI, and my 3-way review process that lets me ship with confidence.
Second half: you install and init Backlog.md in a new or existing repo, then use your preferred agent to create and implement tasks end to end.
The 3-way review (what you’ll practice)
1) Spec review: do the why and the what match with your expectations?
2) Plan review: agent reads the code, makes a plan. Does it make sense?
3) Code review: check code, run the app or tests, verify acceptance, close the loop.
Requirements:
1) A concrete idea that fits in 1 hour (new project or a small feature)
2) Laptop with Git and Node.js, or pair with someone who has it
3) An agent with a subscription or ~$10 credits. Good options: Claude Code, Codex CLI, Gemini CLI, Cursor (use what you know). If unsure, check compatibility at https://agents.md/#compatibility
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.
