Aether

We don’t talk enough about code review and it’s probably why everyone’s doing it wrong. Having another agent review your PR is a meaningless rubber stamp. Even if you use a different model, a reviewer agent reads code, but it doesn't run it. Two agents agreeing is not evidence of anything. If you truly want it verified the only way is an isolated devbox with real tests, previews, and logs. If you’re a serious developer get serious about review.

this is why Aether was built Aether has the best computer use tools of any platform. The agent gets tools to test its changes in a browser, terminal, desktop app, or iOS or Android mobile device

A reviewer that reads your diff gives you an opinion. A reviewer that runs your code gives you a screenshot of the thing that broke. We built the second one.

The 4 things that make up the best coding setup right now: Claude Code as the harness. Astra for adversarial review. Environment config committed to the repo. One machine per agent on a cloud devbox.

The thing nobody tells you about running agents in parallel: you just end up wasting time verifying it. Let’s say you split a feature four ways. Migration, API, UI, tests. Four agents, four branches, all running at once. Minute 20: the migration agent adds a role enum it didn't originally plan. Minute 21: the API agent is still building against the schema you described before that existed. Minute 35: the UI agent stalls on a permission prompt nobody is watching. Minute 50: the test agent decides the feature is broken and starts "fixing" working code. Minute 75: you find all of this at merge. The generation was in parallel but the coordination wasn’t. Parallelism isn't the hard part anymore. Keeping four agents working from the same set of facts is.

If your agents share a filesystem, they share a bottleneck. Generation can be run in parallel easily. Verification can’t. One port 3000, one pool of RAM, one queue. No matter how much you spend on compute it faces one bottleneck on verification. Give each agent a machine and stop paying for half the capability.

If your agents can verify their work in four seconds of unit tests, stop reading you don't need this... This is for the people building features that span a migration, an API, a UI, and an integration suite where chunk 2 is built against a schema chunk 1 is still changing. You know the failure. You make four agents, they generate in parallel, and then they queue to boot. One port 3000. One pool of RAM. The generation was 4x. The verification was 1x. And you found out at merge that two of them were working from different assumptions. Orchestration tooling is getting very good at splitting the work. It is not giving you more machines to run it on. We do. If you’re at this level and you need parallel verification to run multiple tasks end to end, Aether is for you.

Most code review tooling still assumes the diff is the unit of verification. It isn't. Not when an agent wrote it. A human writing code touches what they meant to touch. An agent working autonomously touches what it needed to touch to get green: config, permissions, environment state, and whatever it changed on retry attempt three. The diff shows you none of that. The unit of verification is the system state after the agent is done. Which means reading it isn't enough. You have to run it, from clean, with nothing left over to hide in. If it doesn't come up green from scratch, it didn't work. It just worked once, on one machine, under conditions nobody wrote down.

Every task in Aether gets its own VM. That means agent #12 isn't competing with agent #3 for RAM, and neither of them is fighting over port 3000. Each one boots its own dev server, runs its own tests, verifies its own work. Idle tasks scale to zero. You're not paying for a big machine that sits unused between bursts.

Everyone optimized the wrong half of AI coding. Generation is solved. Your agent can write a feature faster than you can describe it. That stopped being the constraint a long time ago. The constraint is that you can't trust the output, so you check it. And checking is serial, manual, and entirely on you. Agent writes the code You check out the branch You boot the dev server You click around looking for what broke CI fails on something unrelated You paste the failure back into the agent Repeat Steps 2 through 7 are what developers spend their time on now. Every "AI makes me 10x faster" claim ignores this. You didn't get 10x. You moved the work from writing to verifying, and verifying doesn't parallelize when you're the one doing it. The fix isn't a better model. It's an agent whose only job is running the code and kicking it back before it reaches you. Save this and you can thank me later.

Watch me run 1,000 agents at the same time

Anyone with a Claude code or Codex can use this right now…

Genuine question. Why are you wasting your time micromanaging agents when you can run them on the cloud?