Start one task or twenty. Each one gets its own machine, so agents can install packages and break things without touching yours. When an agent isn’t sure, it asks. You make the calls.
Close your laptop. The work keeps going.
Agents run on their own machines, so they keep working after you leave. Here’s a typical night.
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6:04 PM
You queue four tasks and go home.
Fix the flaky sign-in test. Upgrade to React 19. Add Apple Pay to checkout. Triage tonight’s errors as they come in.
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2:17 AM
One agent needs an answer.
The upgrade hit a breaking change in your router. Hive asks you instead of guessing. Reply from your phone, or it waits until morning.
HivenowReact 19 upgrade has a questionKeep the old route loaders or move to the new API?
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4:50 AM
A production error comes in.
The triage agent reads the stack trace, starts on a fix, and files what it can’t fix in Linear.
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8:30 AM
You come back to four pull requests.
Each one has a plan, a diff, test results and a recording of the app running. Look at the proof first, then the code.
Pull requests4 ready for reviewFix the flaky sign-in testCodex · 1 file✓ 312 checks · recordingReadyUpgrade to React 19Claude Code · 41 files · you answered 1 question✓ 312 checks · recordingReadyAdd Apple Pay to checkoutClaude Code · 3 agents · 9 files✓ 318 checks · recordingReadyFix the empty cart crashFrom the production error at 4:50 AM✓ 313 checks · recordingReady
Works with the agents you already use.
Hive runs Claude Code and Codex today, and you can bring your own. Plan with one model, build with another, and have a third review the result.
Run on Hive Cloud, or on a Mac or Linux computer of yours with the Hive agent installed.
Work can repeat on a schedule, too: check open pull requests every hour, or upgrade dependencies every Monday.
An agent should be on your side. It works where it can’t hurt anything, asks before it guesses, and leaves the decisions to you.
Try Hive early.
You’re on the list. We’ll email you when your spot opens up.
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