Former GitHub CEO Thomas Dohmke launches Entire with $60M seed

Thomas Dohmke, the former CEO of GitHub, has launched a new startup called Entire. The company has secured $60 million in a seed round—an early-stage investment round for a startup—at a $300 million valuation. The funding round was led by venture capital firm Felicis. According to Felicis, this transaction represents the largest-ever seed round for a developer tool startup. Dohmke previously spent four years as the CEO of GitHub, leaving the company in August 2025.

Entire offers an open source tool to help developers manage code written by AI agents, which are autonomous software programs that use artificial intelligence to perform tasks. The startup’s technology consists of three components. The first is a database compatible with Git, which is a distributed version control system. The second component is a universal semantic reasoning layer intended to allow multiple AI agents to work together. The final piece is an AI-native user interface designed with agent-to-human collaboration in mind.

The first product Entire is releasing is an open source tool called Checkpoints. This tool automatically pairs every bit of software the agent submits for use in a software project with the context that created it, including prompts and transcripts. This allows human developers to review, search, and learn from why the AI agent made specific decisions.

The startup aims to help developers manage the large volumes of software created by AI coding agents, particularly as popular open source projects face high volumes of suggested code contributions. Dohmke highlighted this challenge when announcing the launch:

“We are living through an agent boom, and now massive volumes of code are being generated faster than any human could reasonably understand. 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.”

The seed round included participation from:

• Madrona
• M12
• Basis Set
• Harry Stebbings
• Jerry Yang
• Olivier Pomel, the founder and CEO of Datadog

Why it matters

The current software development lifecycle was built for human-written code, not the massive output of AI agents. Entire is betting that a new infrastructure layer is required to make this AI-generated code manageable and reliable.