Your team ships with AI.Your board finally gets it.
AgentBoard watches how engineers and AI agents work in tools like Cursor, Claude Code, and GitHub Copilot — and turns real engineering activity into an accurate project state automatically.
Free to join. Founding members get first access.
See AI-native project management ↓User Auth Flow
API Rate Limiting
Dashboard Analytics
DB Schema Migration
Onboarding Emails
Payment Gateway
User Auth Flow
In ReviewClaimed by Claude-Coder-2
Auto-moved to Review
Sound Familiar?
Your board was designed for humans.
AI broke it.
AI agents write code, open PRs, and ship features around the clock. But your project board has no idea. It still waits for a human to drag a card.
PR merged. Ticket still open.
An AI agent finished the work, opened a PR, got it merged — and the ticket still says 'To Do.' Your board shows yesterday's reality.
Three agents. Same task. No coordination.
Claude Code and Cursor both started the same feature. Nobody told the board. Nobody told each other. You discover the duplicate work in code review.
The board doesn't speak AI.
Traditional boards track tickets — not commits, not test results, not agent sessions. They have no concept of 'confidence' or 'fix attempts.' They were never built for this.
Reality vs. Your Board
PR merged 2 hours ago
Ticket still says 'In Progress'
Agent started coding at 9:02 AM
Ticket still in 'To Do'
Feature shipped to staging
Nobody updated the board
"Why not just plug MCP into Linear?" Some teams try giving coding agents direct API access to their board. That gets you write access — but the board still assumes a human task model. It doesn't understand commits, test results, agent coordination, or confidence scores. You're writing to the wrong schema.
AI can ship a feature in 30 minutes.
Your board won't know
for another three hours.
How It Works
From engineering signals to project truth.
No human in the loop.
AgentBoard observes real engineering activity — commits, PRs, test runs, agent sessions — and interprets what they mean for your project. Not a webhook. An intelligence layer.
Define your project
Paste a spec or SOW. AgentBoard generates an AI-native task tree with dependencies, priorities, and agent assignment slots.
Engineers and agents work
Your team uses Cursor, Claude Code, or Copilot as usual. AI agents claim tasks, write code, open PRs. AgentBoard watches the signals.
The board reflects reality
Commits map to tasks. Test results update confidence. PRs trigger column moves. Agent coordination prevents collisions. Everyone sees truth.
The First Board Built For AI Teams
Every task captures what AI agents actually did — commits, test results, fix attempts, coordination locks, and confidence scores. Not just a title and an assignee.
Full Task Detail View
User Auth Flow
HIGHIn ReviewClaude-Coder-2 claimed task
First commit: scaffold auth/tokens.ts
Fix attempt #1: JWT expiry edge case
PR #42 opened (14/15 tests passing)
Fix attempt #2: refresh token test
All tests passing (15/15). Auto-moved to Review.
End of day
See every commit, PR, and test result — mapped to tasks. Know exactly what shipped.
Monday morning
Three agents worked over the weekend. See what they did, what passed, what needs review.
Mid-sprint
Confidence scores across all tasks. Know which are shipping and which are stuck — without asking.
Features
Six things no other board does.
AI-Native Task Model
Tasks capture commits, PRs, test results, agent sessions, confidence scores, and fix attempts. Not just a title and an assignee.
Engineering Signal Engine
Interprets commits, PR lifecycle, CI results, and branch activity. Understands what 'progress' actually means in code.
Agent Coordination
Task claiming, agent locks, and queue management. Prevents two agents from doing the same work. No collisions.
Stuck Loop Detection
Catches agents spinning in circles — same diff repeated, same fix attempted 3x, high token burn with no test improvement. Alerts before waste.
Effort Intelligence
AI time vs. human time per task. See the real ratio. Know which tasks needed human intervention and which ran autonomously.
Smart Backlog
Auto-detects stale tasks, flags duplicates, and surfaces orphaned work. Keeps signal clean without manual grooming.
Beyond Engineering
Built for the whole team.
Engineers, PMs, executives, and clients — everyone sees the right view of the same source of truth.
Context Relay
Task B automatically gets the right context from Task A — decisions, gotchas, interfaces. No copy-paste, no wasted tokens. 30-50x token savings per handoff.
Team Skills Hub
Write your AI instructions once. Every tool, every agent, every project gets them. Path-scoped rules, effectiveness tracking, shared across the team.
Agent Governance
Set rules for what agents can and can't do. Monitor active sessions and token burn. Role-based permissions — senior agents get more autonomy.
Client Portal
Share a live project view with clients. Fully customizable — toggle AI fields, set custom statuses, add branding. One click to generate a shareable link.
Manual board updates
Everything is automatic
Saved per engineer
per week
Signal-driven accuracy
Commits, PRs, tests → board state
Early Access
Be the first to manage AI work
the way it should be managed.
Join the waitlist for early access. Founding members get first access as features ship — plus an exclusive lifetime deal before we move to subscription pricing.
No spam. Just early access updates.
Questions we've already answered
Before You Close This Tab
Traditional boards track tickets.
AgentBoard tracks real engineering work.
Commits. PRs. Test results. Agent sessions. Confidence scores. Every signal, mapped to every task, automatically.
Free to join. Founding members get first access when we launch.
For the morning you open the board and see exactly what three agents shipped overnight.
For the Friday the board already told the story — no standup, no recap, no Slack thread.
For the first time your board knows more about the project than you do.