Answers
How do I keep several coding agents from redoing or undoing each other's work?
Running one coding agent is easy; the cost shows up when two or three run on the same project, because each starts from what it can see and none knows what another took, what it settled or where it stopped. Three habits remove most of the repeated work. Mark what you took before you start, so a second agent sees it is taken. Leave where you stopped and the single next step, written by the session that has the context. And start every session by reading what is already decided, so nobody re-argues it. With Arroway the second and third are the handoff and the read at the start, and the first is the picked-up mark on a handoff, which a parallel session sees and which is a mark, not a lock. Keeping two agents out of the same files is a separate problem, and Arroway does not solve it. Use Arroway when the agents are in different programs or belong to different people. The install page is the first step.
Last updated October 20, 2026
Why parallel agents repeat each other
Each agent works from its own context. Agent two does not know agent one already ruled out an approach, so it tries it again; agent three does not know that refunds keep the old endpoint, so it migrates the refund module too. The usual repair is a person arbitrating: reading both outputs, deciding which stands, retelling the loser. That time is the cost of coordination, and it grows with every agent added. The three habits below attack the three causes: nobody said who took what, nobody wrote where it stopped, and nobody started from what was already decided.
Three habits that avoid the rework
One: before starting, write down what you took, in a place every agent reads at the start, so the second agent finds it and picks something else. Two: when you stop, leave where you stopped, the single next step, what is already checked and should not be redone, and the risk still open. Written at the moment of stopping, it comes from the session that has the context, not from you reconstructing it later. Three: begin by reading the project's decisions in force. They do not belong in the handoff, because they apply to every agent whichever one reads them. None of this needs a particular tool; it needs a shared place and the discipline to use it at the start and at the end.
When to use Arroway
Use Arroway when your agents run in more than one program — Claude Code, Codex, Cursor — or some of them belong to teammates, and you want the same record in all of them. A session that stops unfinished leaves a handoff, and it appears at the top of the next read until someone closes it. When a session picks it up, the handoff shows as picked up, so a parallel session sees it is taken; it is a mark, not a lock, and it does not stop anyone. The decisions in force are read at the start of each session. The cockpit lists your sessions with their state — working, needs you or stopped — so you see which one is waiting on you. What Arroway does not do: it does not assign tasks, it does not detect two agents editing the same file, and it does not isolate their working copies. Those are other problems, and the page does not suggest one tool as preparation for another. The first step is the install page.
What it looks like in practice
A developer runs three agents on one product: Claude Code on the checkout, Codex on the test suite and Cursor on a settings screen. On Monday the team decides that refunds keep the old endpoint until the end of the month. Without a shared record, the Codex session updates the refund tests to the new endpoint, and the developer spends the afternoon working out whose change should stand. With the decision in force, every session reads it when it opens. When the Claude Code session stops on a limit, it leaves a handoff: where it stopped, the next step, what is already checked. The Cursor session picks the handoff up and the handoff shows as picked up, so the Codex session does not start the same piece. Nothing here was measured on a real team; the developer and the situation are illustrative.
Questions people ask about this
- Does Arroway stop two agents from editing the same file?
- No. It does not assign tasks or watch files. What it gives the agents is the same record: the decisions in force, and a handoff that shows as picked up once a session takes it. Keeping their working copies apart is a different problem.
- Is the picked-up mark a lock?
- No. It is a mark that a parallel session can see, and it blocks nothing. Anyone can still work on the same thing; the mark exists so they know first.
- How do I try Arroway?
- Install it in the tool you already use — the install page has one route for Claude, ChatGPT, Codex, Cursor or any MCP tool — and sign in when the tool asks. From then on, sessions open by reading the project and close by recording what was decided.
Where this is verifiable
Questions asked publicly on X and LinkedIn between 12 and 13 October 2026 by people who run several coding agents at once, about coordinating them and the time spent arbitrating between them; they are described, not quoted. Product documentation on this site (How it works, Install), the cockpit operations description in the repository, and the answers on which of your agents is waiting on you and on orchestrating agents and people on one shared memory. Everything described here about Arroway is behaviour the tools apply today, not roadmap. The developer in the example is illustrative.
https://www.arroway.app/en/answers/keeping-parallel-coding-agents-from-redoing-each-others-work