Former GitHub CEO Raises Record $60M Seed Round for AI Code Governance Startup Entire

Thomas Dohmke, former CEO of GitHub, announced the launch of Entire on February 10, 2026, alongside a $60 million seed round at a $300 million post-money valuation — one of the largest seed rounds in developer tools history. The round was led by Felicis Ventures, with participation from Madrona Venture Group, Microsoft's M12, and Basis Set Ventures.

The Problem

As AI coding agents become standard tools in software development, engineering teams face a new audit and traceability challenge: understanding who (or what) wrote specific code, why it was written that way, and whether it can be reproduced. When a human developer writes code, the reasoning is captured in commit messages, pull request descriptions, and code review conversations. When an AI agent writes code, the prompts, model decisions, and execution traces that produced the code are typically lost — creating a governance gap that grows as AI-generated code makes up an increasing share of production codebases.

The Product

Entire's first product, Checkpoints, is an open-source tool that creates persistent links between AI-generated code and the prompts, context, and execution traces that produced it. When an AI agent generates code, Checkpoints captures the complete provenance chain: the prompt that initiated the generation, the model that produced the output, the reasoning or tool-use traces that the agent followed, and the final code that was committed. This provenance data is stored alongside the code, enabling engineers, auditors, and security teams to reconstruct the decision-making process behind any AI-generated change.

Why Now

Dohmke's timing reflects a market that is transitioning rapidly from AI-assisted coding (human writes with AI suggestions) to AI-agentic coding (AI writes with human review). GitHub Copilot, Claude Code, and similar tools are increasingly operating in autonomous modes where the AI makes multi-file changes, runs tests, and iterates on failures — producing code that a human reviewer sees only after completion. As this trend accelerates, the need for tooling that tracks what the AI did and why becomes urgent rather than theoretical.

The $300 million valuation at the seed stage reflects investor conviction that AI code governance will become a required capability for enterprise engineering teams, similar to how source control, CI/CD, and code review evolved from optional practices to non-negotiable infrastructure. Dohmke's background as CEO of the platform that pioneered AI-assisted coding gives him direct insight into the governance challenges that AI coding creates — and credibility with the enterprise buyers who will ultimately purchase governance tooling.

The open-source-first product strategy is designed to establish Checkpoints as a standard rather than a proprietary tool. If the provenance format that Checkpoints produces becomes widely adopted, Entire is positioned to build commercial products — dashboards, compliance reporting, audit tooling — on top of the open-source foundation.