Backlog md: From zero to success with AI Agents
summary
Backlog.md is a repo-first CLI that keeps tasks as markdown with explicit acceptance criteria, implementation plans, and git-backed sync; it uses MCP and agent integrations (Claude, Cursor, etc.) to split features into context-sized tasks and enforces a definition of done so reliability jumps from ~50% to almost 100% in about a month. The project ships a terminal Kanban, a web view, and live agent-driven edits (the demo adds a move-mode feature), and the repo claims 99% built by AI agents and 3k+ GitHub stars.
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chapters (9)
- 0:00Introduction to Backlog MD
- 2:24Why I built Backlog MD
- 8:19What is Backlog MD
- 10:49Live demo setup
- 11:10Building the toggle move mode
- 17:47How Backlog MD works
- 19:10Key features of Backlog MD
- 23:00Why this workflow succeeds
- 24:04Future of AI workflows
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