Launched this week
AgentBoard
AgentBoard — Kanban for AI agents
9 followers
AgentBoard — Kanban for AI agents
9 followers
AgentBoard is an acceptance-driven development board where AI agents work through a structured pipeline — and humans stay in control. How it works 1. Create a task — describe what you need built 2. AI agent auto-plans — generates an implementation plan and submits for review 3. You approve or reject — with comments that guide the agent 4. Agent implements — writes decision logs explaining key choices 5. You accept or send back — final quality gate before marking done
@rusl_st This looks great. I’ve been using tools like Claude Code and Cursor, but keeping context across multi-task projects is always the hardest part. The way you flow decisions into dependent tasks is exactly what’s missing right now.
I love that it's open source and self-hosted. Quick question: How does it handle context limits when projects get large and the decision logs start piling up? Would love to try this on my next project.
“This is a smart approach to human-in-the-loop AI development. The approval checkpoints and decision logs add real accountability