Project Management for Claude Code and Codex

Claude Code and OpenAI Codex are great at building things. They’re not built to organize the work. They live in a conversation: you ask, they execute. That’s perfect for a single task — and quietly painful once you’re running a real project with dozens of features, bugs, and half-finished ideas.

The missing piece isn’t a better agent. It’s project management for AI coding: a way to hold the work as structured items, track them to done, and keep context around — none of which a chat window does.

Why a conversation isn’t a project

An agent’s interface is a thread. On a real project, that costs you:

No structure. A feature is a unit of work with a goal and a definition of done. In a chat it’s just messages — no backlog, no “in progress,” no “done.”
No memory of the project. Each session re-learns your stack and conventions. You become the context the agent lacks.
No history. Six weeks in, “what did we build, when, and with which agent?” has no answer but scrolling.

You can’t prompt your way out of a missing system. You need a layer above the agent.

What project management for AI coding actually looks like

Borrow the parts that have organized software work for two decades, and point them at the agents:

Stories, not prompts. Each piece of work is a scoped item with a clear goal — “Filter invoices by status on the dashboard” — not a paragraph you retype every session.
A board. Backlog → In progress → Done. You can see what’s queued, what’s running, and what shipped, at a glance.
Context attached to the project. Your stack, conventions, and goals live with the project, so every run inherits them instead of starting from zero.
Run history. Every execution is recorded — what it did, which agent, the result.

That’s the layer Claude Code and Codex don’t provide. It’s exactly the layer that turns a pile of prompts into a project you can actually manage.

How Instify adds it to Claude Code and Codex

Instify is that project-management layer for AI coding agents — it doesn’t replace Claude Code or Codex, it puts a system around them:

Write features as plain-language stories on a kanban board.
Attach your stack and instructions once, at the project level.
Assign the agent per story — Claude Code for the reasoning-heavy work, Codex for the well-defined tasks — and hit Run.
Watch each run build locally in real time; every run is saved to history.

Claude Code and Codex stories organized on the Instify kanban board — Your features as stories on a board — with Claude Code and Codex doing the building.

The agents keep doing what they’re good at: writing code. You get the thing they were never meant to give you — a project you can see, organize, and ship. See it in one place on the project management for Claude Code page.

Give Claude Code and Codex a board. Mac-native, runs locally, free to start. Download for Mac → · See the Claude Code GUI →

Keep reading: why kanban fits AI coding agents so well.