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.
The AI Kanban board for Claude Code, Codex, and Kimi
Describe what you want to build. DevboardAI creates the sprint and orchestrates parallel coding agents to run every task for you — no babysitting, no prompting, just shipped code in your repo.
One payment, yours forever · 7-day money-back guarantee · Or try free for 7 days, no card
Type what you want to build in plain English. DevboardAI creates a full sprint with tasks, priorities, and checks — in seconds.
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.
Your sprint is done. Code is written in your actual repo. Check the results, push to git, and move on to your next idea.
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.
Claude Code, Cursor, and Copilot are assistants — they wait for your prompt and suggest code you still need to integrate. DevboardAI is the builder layer on top: it takes a sprint and ships it against your repo autonomously, using the agents you already pay for.
DevboardAI, Claude Code Desktop, Cursor, Devin, and ComposioHQ's open-source orchestrator all run AI coding agents. They differ on price, provider support, local execution, and whether a visual board and sprint generation are included.
Deeper dives: vs Claude Code Desktop · vs Cursor · Kanban for Claude Code
AI Kanban software with five columns and drag-and-drop, built for developers running coding agents. Each card shows its AI model, priority, and live execution status — a shared board for AI agents across Backlog, In Progress, QA, Done, and Failed.
See the AI Kanban board for coding agents →Tell DevboardAI what you want to build in plain English and it generates a full AI sprint — tasks, priorities, story points, and checks. Review it, tweak it, and import it onto the board in one click.
How AI sprint generation works →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.
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.
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.
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.
What an AI coding agent orchestrator does →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 execution on your machine with direct codebase access. No cloud middleman. Your source code and repository context never leave your hardware.
Learn more →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 →Every implementation run is logged — status, exit code, time, model, and full output. Debug AI results the same way you debug code.
QA feedback flows into retries on its own. Rate limits trigger smart backoff and model switching. No babysitting — fully autonomous execution.
Learn more →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.
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 →DevboardAI is a local-first macOS app that orchestrates AI coding agents from a Kanban board: it generates a sprint from a plain-English description, then runs each task with Claude Code, OpenAI Codex, or Kimi in its own git worktree and retries failures automatically. It is a one-time purchase of $24 with a 7-day free trial.
DevboardAI costs $24 as a one-time payment for a lifetime license, with no subscription and no recurring charges. Every purchase includes a 7-day money-back guarantee, and a free 7-day trial of the full app is available before buying.
DevboardAI offers a free 7-day trial of the full app with no feature limits and no credit card required. Enter your email on devboardai.com and you receive a trial license key and the download link. When the trial ends, the app locks until a $24 lifetime key is entered.
An AI coding agent orchestrator is software that sits above individual coding agents such as Claude Code or Codex, reads an entire backlog, decides the order tasks must run in, assigns each task to a model, runs them in parallel across git worktrees, and retries failures. The agents write the code; the orchestrator decides what gets written, by whom, and in what order.
An AI Kanban board is a task board where the cards are executed by AI coding agents instead of being moved by hand. DevboardAI's board has five columns, Backlog, In Progress, QA, Done, and Failed, and a card moves when Claude Code, Codex, or Kimi finishes the work, fails a check, or gets retried.
DevboardAI supports Claude Code, OpenAI Codex, Kimi CLI, and any other CLI-based coding agent installed on your Mac (Apple Silicon or Intel), and you can mix providers inside one sprint. Value Mode picks a model per task, for example Claude Haiku for small fixes and Claude Opus for large changes. It works with any language or framework the agent itself supports.
The main alternatives to DevboardAI for running AI coding agents are Claude Code Desktop, Cursor, Devin, and self-hosted open-source orchestrators such as ComposioHQ's. Those tools are priced at roughly $20 to $200 per month or require self-hosting, while DevboardAI is a $24 one-time purchase that runs locally, supports multiple providers, and adds a visual Kanban board and sprint generation.
DevboardAI works in three steps: describe what you want to build in plain English, review the generated AI sprint of tasks with priorities, dependencies, and validation criteria, then hit Run and the orchestrator executes every task in dependency order using parallel coding agents. Failed tasks move to QA, where the error is fed into the next attempt until the check passes or you step in. All code changes stay on your machine.
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.
Your current AI tool stack: ~$70/mo. DevboardAI: $24 once. Breaks even before Cursor's next credit refill — ~10 days.
Requires a Mac (Apple Silicon or Intel) and at least one AI CLI: Claude Code, OpenAI Codex, or Kimi.