There is a new AI coding agent every week. Devin will take a ticket and open a pull request. GitHub's Copilot coding agent does the same, natively in your repo. Cursor's background agents grind through work while you sleep. Claude Code runs in your terminal and in your CI. They are good, and getting better fast.
So here is a question worth sitting with: if the agents are this capable, why does running five of them not feel five times faster?
Because the agent is no longer the bottleneck. You are. Somebody has to watch the runs, and that somebody is still a person.
What an agent does when you leave it alone
An agent you are watching is easy. You see it go wrong and you stop it. The trouble starts the moment you stop watching, which is the whole point of having one.
Left alone, a run goes wrong in a small number of ways:
- It loops. The same command, the same failing test, the same edit, again and again.
- It drifts. It was asked to add a health check and is now refactoring the logger.
- It overspends. It keeps going long after it is lost, and every minute is billed.
- It collides. Two agents edit the same file and undo each other.
- It touches something risky. Auth, payments, a secrets file.
- It goes quiet. The machine slept, the run timed out, and nothing says so.
None of these are exotic. Anyone who has run agents overnight has seen all six. What they have in common is that the agent does not report them. A looping agent is, from its own point of view, working hard.
The cost is not the mistake. It is the delay.
A loop that is stopped after ten seconds costs nothing. The same loop found at nine the next morning cost a night of compute and a day of schedule, and you still have to work out what happened.
That gap, between when a run goes wrong and when a person notices, is the entire problem. A better agent narrows how often it goes wrong. It does nothing about how long it stays wrong.
Why one more agent will not fix it
Every vendor is racing to build a better single agent. That is a real product, and if you want the best autonomous coder, buy one. But notice what none of them are:
- None of them watch your other agents. Each one sees its own runs, in its own dashboard, on its own meter.
- None of them are neutral. The thing reporting that the run went well is the thing that did the run.
- None of them follow you when you switch. Change vendor and whatever oversight you had is gone.
Most teams we look at do not use one agent. They use two or three, because each is good at something different. That means two or three places to look, and no place that shows all of it.
What we built instead
Infersync is a supervisor for fleets of coding agents. It does not write code. It plans the work, hands it to the agents that do, watches them, and checks what they make.
It watches what each agent actually does, not what it says it did. When a run loops, drifts, overspends, collides or stalls, it acts by itself, in seconds. It works with any agent vendor, and it runs on your own machines through a one-command runner, so your code never leaves.
The part that makes this bearable is what it does not do: it does not ask you about everything. A supervisor that pings you for every decision is just a slower way of watching the agents yourself. Infersync asks a person only for what can hurt: auth, payments, secrets. Everything else is handled and logged, and you read the log when you feel like it.
The winners of the agent era will not be the teams with the single best agent. They will be the teams that can leave a whole fleet of them alone and trust what they find in the morning. That is what we are building.
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