Kanban for AI Coding Agents

AI coding agents produce work fast. Point Claude Code or Codex at a few tasks and you’re generating features, fixes, and changes quicker than you can track them in your head. Speed without visibility is just chaos with extra steps.

The oldest fix for exactly this problem is kanban — a board with columns that makes work visible and moves it toward done. And it turns out kanban fits AI coding better than almost anything it was originally designed for.

Why kanban and AI coding are a natural fit

Kanban was built to visualize work and manage flow. AI coding is unusually well-suited to it:

Each story maps to one agent run. A card isn’t a fuzzy “task” — it’s a discrete unit of work an agent can pick up and finish. Clean cards in, shipped features out.
Columns mirror the real lifecycle. Backlog → In Progress → Done isn’t a metaphor here; it’s literally where each piece of work is. You can watch a card move as the agent runs.
Flow becomes visible. Which agents are running right now? What’s queued? What shipped? A board answers at a glance — a chat thread never will.

The thing that makes AI agents hard to manage (they move fast and in parallel) is exactly the thing a board is built to handle.

What a board gives you that a chat or checklist doesn’t

State, not scrollback. Every piece of work has a column, not a position in a transcript.
Parallelism you can see. Multiple agents working at once, laid out — not interleaved in one conversation.
A record. The board is the history of what got built, standing after the run is over.

Kanban built for AI-driven development

Instify is a kanban board designed for exactly this — running Claude Code and OpenAI Codex against a board of your features:

Write each feature as a story on the board; each card is one agent execution.
Drag stories across Backlog → In Progress → Done, and see running agents and token usage at a glance.
Assign the agent per card — Claude Code for the reasoning-heavy work, Codex for the well-defined tasks.
Everything runs locally, and every run is saved.

An AI coding kanban board in Instify with stories across Backlog, In Progress, and Done — A kanban board built for AI agents — each card is one run, from Backlog to Done.

Fast agents plus a board to run them on: that’s how you turn a burst of AI output into a project you can actually steer.

A kanban board for your AI coding agents. Mac-native, runs locally, free to start. Download for Mac → · See the kanban board for Claude Code →

Keep reading: project management for Claude Code and Codex · running agents in parallel, without the chaos.