Guide
AI agent orchestration for coding.
AI agent orchestration for coding means giving each agent a role, a brief and files it may touch, then reviewing the result in rounds you can stop.
v1.0.7 · Apple silicon · free for 3 days · no account
Roles: planner, implementer, reviewer.
One agent can hold a whole task, and for a small change it should. Orchestration starts when a second agent would do a different job. A planner writes the objective and what counts as done, without editing. An implementer makes the change. A reviewer reads the diff and reports findings. Splitting those roles is the point: the agent that wrote the patch is a poor judge of it.
Starkomand keeps each role in its own terminal window, on the same canvas, so you can see who is working and who has finished. The agent pages list the CLIs it launches. A planner and an implementer do not have to be the same product. Codex and Claude Code are a common pair, and running them side by side is the setup.
Briefs, not the whole transcript.
Handing work off by pasting a long chat fails in two ways. The next agent re-reads decisions that were already settled, and it inherits the first agent’s dead ends. A brief is the short replacement: the objective, the acceptance criteria, and the constraints. The receiving agent starts from that, in a fresh session.
On Starkomand a handoff saves that brief and opens the next window wired to the one that wrote it. The CSV export walkthrough is one run of that, from Claude Code to Codex. The history of briefs stays on the task, which is what you read when you come back, instead of scrolling a terminal.
Bounded review loops.
A review loop sends findings back to the implementer and asks for another pass. Unbounded, it spends the usage limit arguing. Bound it: a fixed number of rounds, and a check that the files still match the revision the reviewer saw. If they do not, stop. “Ready for human review” is a label for you, not an acceptance. You still read the findings.
The second-agent review shows a review that returns findings only, and the optional loop that can send fixes back. Either way the last call stays with you.
File ownership.
Two agents writing the same files will overwrite each other. Give each writer a directory, or give each writer a git worktree: a second checkout of the repository on its own branch. A reviewer can stay in the main checkout and not edit. Running several Claude Code agents walks through the worktree commands and the apps that make a worktree per task.
State the boundary in the brief. “Do not edit files” is a reviewer’s whole instruction. “Only touch src/api” is an implementer’s. An agent follows a limit you wrote down more reliably than one it has to infer from the rest of the prompt.
Questions
What is AI agent orchestration for coding?
It is the practice of running more than one coding agent on a task by giving each a role, a short brief and a set of files, then reviewing in rounds you can stop. The agents can be the same CLI or different ones.
Do I need more than one agent?
No. One agent is enough for a task you can describe in a single session. Add a second when you want a different model to implement, or a different model to review, or when one of them has hit a usage limit.
How do I stop agents editing the same files?
Give each writer its own directory or its own git worktree, and say so in the brief. A reviewer can share the main checkout if it does not edit.
Where do I run more than one coding agent?
In separate terminals, or in an app that lays those terminals out. Starkomand is one Mac canvas for the CLIs you already run. The comparison lists the other apps and what each one charges.
Try it against your own setup.
Every feature, every provider, free for 3 days. Your CLIs are already installed; the canvas takes a minute.
v1.0.7 · Apple silicon · no account