Entire raises $60M to replace GitHub pull requests with AI agents
Thomas Dohmke, who ran GitHub before leaving last year, just launched Entire: a code hosting platform built from scratch for AI agents. The announcement landed two days before GitHub’s annual Universe conference, which is either good timing or a deliberate jab.
The Problem It’s Solving
GitHub processed 7.38 billion code changes in September alone. That load contributed to at least one near eight-hour outage in August. Dohmke’s argument is that platforms designed for human-paced development can’t keep up when AI agents are pushing code continuously.
“Code review was always a bottleneck. I’ve never worked in a software company where I didn’t wait for somebody else to review my pull request… And now that bottleneck is 10 times bigger.” — Thomas Dohmke, Madrona event
What’s Different About Entire
The core product swap: pull requests are out, Trails are in. When code is submitted, multiple AI agents score it automatically. Human developers review a dashboard of scores rather than reading line by line. Code goes live only after the AI clears it, automated tests pass, and a human gives final sign-off.
The second notable feature is Continuous Memory. The platform stores the context behind every code change so future agents can look up why a specific decision was made. The company claims this cuts AI operating costs by up to 71%.
On raw speed, Entire says its own testing shows it can process code pushes up to 89 times faster than GitHub. The platform hosts private repositories across the U.S., Europe, Australia, and India.
Funding and Backing
Entire raised $60 million in seed funding at a $300 million valuation. Investors include Gergely Orosz, Olivier Pomel, Yahoo co-founder Jerry Yang, and Microsoft’s own venture arm M12, which is an interesting position given that Microsoft owns GitHub.
️ Pricing
- Platform access: free
- Pay for AI model tokens used during automated code reviews
- $100 starter credit reported for new users
Entire has a fully remote team of 50 employees. For developers already deep in AI-assisted workflows, it’s worth watching how this stacks up once the free tier has more usage behind it.
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