Former GitHub CEO launches Entire for AI coding needs
Former GitHub CEO Thomas Dohmke has unveiled Entire, a new Git hosting network built to handle the explosion of AI coding agents. The launch directly addresses infrastructure stress that existing platforms, including GitHub, reportedly face when managing widespread AI agent interactions. Entire takes a decentralized approach to version control, positioning itself as a purpose-built alternative for the AI-first coding era.

The Problem: GitHub Wasn’t Built for AI Agents

Git remains dominant among developers, used by an estimated 93.87 percent globally. But GitHub, Microsoft’s hosted Git platform, has buckled under load from AI coding agents operating continuously and at scale.

Dohmke frames the core issue clearly: Git was designed to be decentralized, with every clone containing a complete repository copy. In practice, though, developers gravitated toward centralized hosting platforms like GitHub for convenience. That centralization worked fine until AI agents arrived and began generating commit volumes the original architecture never anticipated.

The key question is how to expand, rewire, and evolve Git hosting for a world where AI agents are the primary producers of code, Dohmke said. Entire is his answer.

How Entire Works

Entire.io allows developers to mirror their GitHub repositories into a separate environment where AI agents can operate independently. This offloads traffic from GitHub while keeping code in sync. Developers can also create branches native to Entire’s network.

The platform is built for scale. Entire’s network handles approximately 2.1 million pushes per hour and 570,000 clone operations per hour. For comparison, competitor Cursor Origin reports 81,000 pushes per hour and 296,000 clones per hour. The architecture emphasizes low latency and regional content control to better serve concurrent AI agent requests.

Beyond Git: Agent Auditing

Entire ships with the Entire CLI, a Git-integrated tool that goes beyond version tracking. It logs prompts, AI responses, file changes, and context from coding agents alongside traditional commits. This creates an auditable record of not just what changed, but why the AI made each decision.

The capability hints at Entire’s broader business strategy: Git hosting, agent auditing, and potential data insights from understanding how AI develops code.

Availability and Open Source Plans

Entire.io is currently available to developers selected from a waitlist across the US, EU, and Australia. The company plans to open source its Git network and support self-hosting within the coming months.

Dohmke’s vision extends beyond proprietary advantage. We will continue building up and down the stack towards an open, decentralized, independent developer ecosystem for any agent and any human, he said. That commitment to openness could be crucial in attracting developers who already value Git’s collaborative, open nature.

The Broader Shift

Entire’s launch reflects a quiet but significant shift in developer infrastructure. As AI coding agents become standard tooling for professional developers, the platforms supporting them need to evolve. GitHub’s dominance remains unchallenged for most human developers, but AI-first workflows are carving out space for alternatives built with that use case in mind from the ground up.

Follow Hashlytics on Bluesky, LinkedIn , Telegram and X to Get Instant Updates