Former GitHub CEO Dohmke Raises $60 Million to Build AI Code Infrastructure
The fundraising values Entire, a startup building tools to audit and manage AI generated code, at $300 million.
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[Image source: Chetan Jha/MITSMR India]
Thomas Dohmke, the former CEO of Microsoft-owned GitHub, has raised $60 million in seed funding for his new developer tools venture, Entire, valuing the company at $300 million.
Felicis, the lead backer, described it as the largest seed round for a developer tools startup.
Dohmke had said in August last year that he would leave GitHub to start a new firm, after overseeing the platform’s push into AI-assisted coding through Copilot.
Dohmke, who moved to the US from Germany more than a decade ago after selling his startup to Microsoft, said his “startup roots” ultimately drove the decision to return to building from scratch.
Entire is positioning itself as infrastructure for an emerging reality in software development: AI agents writing vast amounts of code, often faster than humans can review or fully understand.
At the heart of Entire’s offering is an open source platform designed to help developers manage and make sense of code generated by AI systems. The company’s technology stack has three main components.
The first is a Git-compatible database built to unify AI-produced code. Git, the distributed version control system widely used by enterprises and platforms such as GitHub and GitLab, remains the backbone of modern software workflows. Entire aims to extend that foundation for an AI-heavy development environment.
The second component is what the company calls a “universal semantic reasoning layer,” intended to allow multiple AI agents to collaborate and reason over shared codebases. The third is an AI-native user interface built specifically for agent-to-human collaboration.
Its first product, called Checkpoints, is being released as open source. It automatically pairs every piece of code submitted by an AI agent with the context that produced it, including prompts and transcripts. The goal is to make AI-generated contributions traceable and reviewable, enabling developers to search, audit, and even learn from the reasoning behind the code.
“We are living through an agent boom, and now massive volumes of code are being generated faster than any human could reasonably understand,” Dohmke said in a press release. “The truth is, our manual system of software production, from issues, to git repositories, to pull requests, to deployment, was never designed for the era of AI in the first place.”
On February 10, Dohmke announced the company on X, writing: “Today, we’re announcing our new company @EntireHQ to build the next developer platform for agent–human collaboration. Open, scalable, independent, and backed by a $60M seed round. Plus, we are shipping Checkpoints to automatically capture agent context.”

