Describe what you want to build
Type what you want to build in plain English. DevboardAI creates a full sprint with tasks, priorities, and checks — in seconds.
How It Works
Three Steps. Zero Context-Switching.
Hit run. Walk away.
The AI coding agent orchestrator handles task delegation and agent coordination automatically. It picks the right agent for each task, manages parallel execution across worktrees, retries failures, and works through your backlog hands-free.
Come back to shipped code
Your sprint is done. Code is written in your actual repo. Check the results, push to git, and move on to your next idea.
The Difference
Stop Babysitting AI. Start Orchestrating.
Other agentic tools make you do the work — one prompt, one task, one file at a time. DevboardAI is the AI dev workflow orchestrator that manages multiple AI coding agents and runs your whole sprint with autonomous execution.
Without DevboardAI
One Task at a Time. Babysitting.
- Prompt the AI for one change
- Wait for output, review, fix, re-prompt
- Manually move to the next task
- Context-switch between files and chat
- You are the orchestrator
- Hours of supervision per feature
With DevboardAI
Describe → Walk Away → Ship
- Describe what you want to build
- AI generates the full sprint for you
- Orchestrator delegates tasks to parallel coding agents
- Subagent coordination assigns the right model per task
- Failed tasks auto-retry with QA feedback
- Come back to finished code in your repo
AI Sprint Generation
Describe It. Generate It. Ship It.
Tell DevboardAI what you want to build in plain English. It creates a full sprint with tasks, priorities, and checks. Review it, tweak it, and import in one click.
Learn more about ai sprint generation →DevboardAI — AI Sprint Generation
Task Detail & Agent Execution
Configure, Run, and Watch AI Code Live
Each task has its full context: what to do, how to check it, and which agent to use. Hit Run and watch the AI code live. Every run is logged with status, time, model, and full output.
DevboardAI — Task Detail & Agent Execution
Stop Prompting. Start Orchestrating.
Every hour you spend babysitting AI is an hour your side project sits idle. Let this AI dev workflow orchestrator manage parallel coding agents and build it while you live your life.
Built by a Developer, for Developers
Born From a Backlog That Wouldn't Shrink
DevboardAI was built by a developer with a day job and too many side projects collecting dust. After spending more time babysitting agentic tools than building, he made the AI coding agent orchestrator he wished existed — a coding agent dashboard that manages task delegation, agent coordination, and autonomous execution while you sleep.
Kanban Board
Your Coding Agent Dashboard
A Kanban board for AI coding agents with five columns and drag-and-drop. Each task shows its AI model, priority, and live execution status. Your coding agent control panel for managing agent tasks across Backlog, In Progress, QA, Done, and Failed.
Learn more about kanban board →DevboardAI — Kanban Board
The Orchestrator
Run Your Entire Sprint on Autopilot
The AI coding agent orchestrator handles subagent orchestration and runs every task in dependency order. It retries failures with QA feedback built in. Value Mode picks the best model for each task — Haiku for quick fixes, Opus for big changes. Watch autonomous execution finish your sprint.
Learn more about the orchestrator →DevboardAI — The Orchestrator
Why DevboardAI
The Multi-Agent Coding Workspace Built for Developer Workflows
You already know how to build software. You just need autonomous coding agents with proper orchestration and task delegation — so your ideas don't die in a backlog.
Local-First Architecture
Local execution on your machine with direct codebase access. No cloud middleman. Your source code and repository context never leave your hardware.
Learn more →Multi-Agent Orchestration
Use the AI coding agent orchestrator with Claude Code, OpenAI Codex, Kimi, or any CLI tool. Mix and match agents per task with subagent orchestration and agent coordination.
Learn more →Full Audit Trail
Every implementation run is logged — status, exit code, time, model, and full output. Debug AI results the same way you debug code.
Smart Retry Loop
QA feedback flows into retries on its own. Rate limits trigger smart backoff and model switching. No babysitting — fully autonomous execution.
Learn more →Dependency Graph
A visual graph shows every agent task as a node and every link as an edge. See the critical path and task delegation order before you run anything.
Native macOS App
A terminal-first developer workspace built for Mac — supports Apple Silicon (M1–M4) and Intel. Native notifications and dock badges when your sprint is done.
Learn more →FAQ
Frequently Asked Questions
Is this a monthly subscription?
No. DevboardAI is a one-time payment of $74 for lifetime access — just $24 for the first 100 buyers. No recurring charges. 7-day money-back guarantee.
What AI models does DevboardAI support?
DevboardAI works with Claude Code, OpenAI Codex, Kimi, and any CLI-based AI tool. You need at least one installed on your Mac. The AI coding agent orchestrator handles subagent orchestration and picks the best model for each task with Value Mode.
Who is this built for?
Developers with more ideas than time. Indie hackers with side projects piling up, solo devs buried in feature requests, or team leads who want to run tasks in parallel. DevboardAI lets you hand off coding to AI so you can focus on design, reviews, and the hard stuff.
What if the AI writes bad code?
DevboardAI has a built-in QA retry loop. When a task fails, it moves to QA and the error is fed into the next try. The orchestrator keeps retrying until it passes or you step in. All changes stay local — nothing deploys on its own.
Does it work with my stack?
Yes. DevboardAI works with any stack your AI coding agent supports — React, Next.js, Python, Go, Rust, Rails, and more. If your agent can handle it, DevboardAI can manage the workflow.
Do I have to babysit each task?
No — that's the whole point. Give DevboardAI a sprint and the AI coding agent orchestrator does the rest: handles task delegation, manages agent coordination, runs parallel coding agents in dependency order, and retries failures. You walk away and come back to done code in your repo.
Does DevboardAI require internet access?
DevboardAI runs locally on your Mac. It needs internet only because the AI agents (Claude Code, Codex, Kimi) talk to their own APIs. Your project files never leave your machine.
What do I need before installing DevboardAI?
A Mac and at least one AI coding CLI: Claude Code, OpenAI Codex, or Kimi. Works on Apple Silicon (M1–M4) and Intel. Install your agent first, then DevboardAI takes over.
How is this different from using ChatGPT or Claude directly?
DevboardAI adds structure: a coding agent dashboard with Kanban board, task links, checks, run history, retry loops, and multi-agent orchestration. Instead of prompting AI and copy-pasting code, you describe tasks and the AI coding agent orchestrator runs them against your real codebase with local execution — making files, running tests, and adding changes autonomously.
Your Side Projects Deserve to Ship
You have a full-time job and a backlog of ideas. DevboardAI orchestrates parallel coding agents to build them autonomously — describe what you want, walk away, come back to finished code in your repo.
Requires a Mac (Apple Silicon or Intel) and at least one AI CLI: Claude Code, OpenAI Codex, or Kimi.