Kanban Board

Kanban for AI Coding Agents — Visual Sprint Management

AI coding agents need structure. DevboardAI gives them a coding agent dashboard with a five-column Kanban board — drag-and-drop task management, priority sorting, live execution status, and model assignments. Your coding agent control panel so you always know where every agent task stands.

Quick answer

A Kanban board for AI coding agents is a task board whose cards are executed by agents like Claude Code, OpenAI Codex, and Kimi, and move when the agent finishes, fails, or retries. DevboardAI provides one for macOS with five columns, live execution status, and per-card model assignment, for a one-time $24 license with a 7-day free trial.

The Problem

AI Agents Without a Board Is Chaos

Running AI coding agents without task management loses track of what is done, what failed, what is running, and what is next. Terminal output scrolls by, context gets lost, and you end up re-running tasks you already completed. A Kanban board brings order to AI-powered development.

Five Columns

The AI Sprint Workflow

Every task flows through five stages — from Backlog to Done (or Failed). The orchestrator moves tasks automatically as they execute.

Backlog

Tasks waiting to be picked up. The orchestrator pulls from here in priority and dependency order. Add tasks manually or import them from a generated sprint.

In Progress

Tasks currently being executed by an AI agent. See which model is running, watch live terminal output, and track execution duration in real time.

QA

Tasks that completed but failed validation criteria. The failure feedback is captured and injected into the next retry attempt automatically.

Done

Tasks that passed validation. Code has been written to your repo. Review the output, check the execution log, and push to git when ready.

Failed

Tasks that exhausted retry attempts. Full error logs and execution history are preserved so you can diagnose the issue and re-run manually.

Board Features

Built for AI-Powered Development

Drag-and-Drop Organization

Move tasks between columns with a single drag. Reorder within columns to adjust priority. The board is your command center for AI-powered development.

Task Cards With Context

Each card shows the task key, assigned AI model, domain tag, priority level, and current execution status — all visible without opening the task.

Priority Sorting

Tasks are sorted by priority within each column. Critical tasks bubble to the top. The orchestrator respects this ordering when processing your backlog.

Live Execution Status

Cards update in real time as the orchestrator runs. See tasks move from Backlog to In Progress to Done (or QA) without refreshing.

Frequently asked questions

What is a Kanban board for AI coding agents?

A Kanban board for AI coding agents is a visual task board where each card is a coding task executed by an AI agent such as Claude Code, OpenAI Codex, or Kimi, and cards move between columns as the agent starts, finishes, fails, or retries the work. DevboardAI's board has five columns, Backlog, In Progress, QA, Done, and Failed, and shows the assigned model, priority, and live execution status on every card.

How is an AI Kanban board different from a normal Kanban board?

An AI Kanban board differs from a normal Kanban board in that cards move when an AI agent finishes or fails a task rather than when a person drags them. In DevboardAI, dragging a card to In Progress launches an agent on that task, a failed validation moves it to QA with the error captured for the next retry, and a passed validation moves it to Done, so the board reflects real execution state instead of manual status updates.

What are the five columns on the DevboardAI Kanban board?

The five columns on the DevboardAI Kanban board are Backlog, In Progress, QA, Done, and Failed. Backlog holds tasks waiting to run in priority and dependency order, In Progress shows tasks an agent is executing with live output, QA holds tasks that failed validation and are queued for an automatic retry, Done holds tasks whose code passed validation and is in your repo, and Failed holds tasks that exhausted their retries with full logs preserved.

Which AI coding agents work with the DevboardAI Kanban board?

The DevboardAI Kanban board works with Claude Code, OpenAI Codex, Kimi, and any other CLI-based coding agent installed on your Mac, and each card can be assigned a different model. The Orchestrator runs independent cards in parallel in separate git worktrees, so several agents can work on the same board at once without file conflicts.

How much does the DevboardAI Kanban board cost?

The DevboardAI Kanban board is included in DevboardAI, which costs $24 as a one-time payment for a lifetime license with no subscription. Sprint generation and the Orchestrator are included at the same price. A free 7-day trial of the full app is available, and every purchase has a 7-day money-back guarantee.

Does the DevboardAI Kanban board run locally?

The DevboardAI Kanban board runs locally on macOS, on Apple Silicon (M1 through M4) and Intel Macs, and your project files never leave your machine. The board, task data, and execution logs are stored on your local disk; an internet connection is needed only because the AI agents call their own APIs. Windows and Linux are not supported.

Give Your AI Agents a Dashboard

A coding agent Kanban board purpose-built for AI coding workflows and visual task management. One-time payment, lifetime access.