Former GitHub CEO raises record $60M to build platform for AI coding agents and human developers

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Thomas Dohmke, who led GitHub through the rise of Copilot, has launched Entire with a $60 million seed round at a $300 million valuation. The startup addresses a growing challenge: managing massive volumes of code created by AI agents. Its first open-source tool, Checkpoints, captures the context behind AI-generated code to help developers review and understand what AI agents produce.

Former GitHub CEO Launches Entire With Record-Breaking Funding

Thomas Dohmke has secured a $60 million seed round for Entire, marking the largest seed investment ever for a developer tools startup according to lead investor Felicis

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. The round values the company at a $300 million valuation and includes backing from Madrona, M12, Basis Set, along with notable individual investors including former Yahoo CEO Jerry Yang, Y Combinator CEO Garry Tan, and Datadog CEO Olivier Pomel

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. Dohmke, who served as CEO of Microsoft-owned GitHub for four years before departing in August 2025, oversaw the rise of GitHub Copilot during his tenure

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Source: GeekWire

Source: GeekWire

Addressing the Challenge of Managing AI Coding Agents

Entire offers an open-source developer tool designed to help teams manage the increasing volumes of code created by AI coding agents. "We are living through an agent boom, and now massive volumes of code are being generated faster than any human could reasonably understand," Dohmke explained

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. The platform addresses a fundamental mismatch: existing workflows for software production—from issues to git repositories to pull requests—were never designed for the era of AI in the first place. Popular open-source projects are particularly overwhelmed these days with suggested code contributions that may or may not be AI slop, meaning poorly designed and possibly unusable code

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Three-Part Architecture for the Next Generation Developer Platform

Entire's technology consists of three core components built specifically for managing AI coding agents. The first is a git-compatible database to unify AI-produced code, leveraging the distributed version control system used by enterprises and open source sites like GitHub and GitLab

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. The second component is what Entire calls a universal semantic reasoning layer intended to allow multiple AI agents to work together seamlessly. The final piece is an AI-native user interface designed with agent-to-human collaboration in mind

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Checkpoints Captures Context From AI Coding Agents

The first product Entire is releasing is Checkpoints, an open-source tool that automatically pairs every bit of software an agent submits with the context that created it, including prompts and transcripts

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. "That way you have code and context together, and then it allows you to do things like identifying the intent of that code, of that change, or just figuring out when was that code generated and with what prompt," Dohmke said

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. Checkpoints is launching with support for Anthropic Claude Code and Google Gemini CLI, with plans to add OpenAI and GitHub support likely within weeks

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. The goal is to make AI-generated code easier to review, search, and audit, allowing human developers to potentially learn from why the AI did what it did

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Reimagining the Software Development Lifecycle

"Just like when automotive companies replaced the traditional, craft-based production system with the moving assembly line, we must now reimagine the software development lifecycle for a world where machines are the primary producers of code," Dohmke stated . S. Somasegar, managing director at Madrona who worked with Dohmke during his time at Microsoft, noted that "all the workflows that you imagined in your developer platform have to be reimagined"

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. While GitHub is a fantastic platform, it was built for an era where human beings did all the work, he added .

Entering a Competitive but Expansive Market

Entire enters an increasingly crowded market for AI coding tools, with companies such as Google, OpenAI, Anthropic, Microsoft, and Cursor offering their own platforms and services . However, Dohmke positions Entire differently: "We are not training models or building agents, we are integrating with them," he told Axios

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. The platform will be open-source, independent, and scalable for every developer and agent to host their code and agent context

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. Somasegar believes the market is large enough for multiple winners, noting that GitHub and other AI companies with coding tools are likely thinking about similar questions

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. Entire currently has 15 employees operating as a fully remote company, with team members who previously built developer tools at GitHub and Atlassian, and plans to expand headcount as it works toward a broader platform launch later this year .

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