Thomas Dohmke’s Entire Just Raised $60M to Fix the Problem GitHub Couldn’t
Official waitlist announcement image from Entire, the developer platform founded by former GitHub CEO Thomas Dohmke. The image promotes Entire's core positioning: fast, distributed, and independent Git hosting designed for the era of AI agents, with a robot mascot and a call to join the waitlist.

The man who scaled GitHub Copilot into the most widely used AI coding tool in the world just raised $60 million to solve a problem Copilot helped create. Thomas Dohmke, who served as GitHub CEO from 2021 to August 2025, has launched Entire, a new developer platform built specifically for teams managing fleets of AI coding agents. The Entire developer platform closes a record seed round at a $300 million valuation, making it the largest seed investment in developer tools history, according to lead backer Felicis.
Dohmke’s departure from GitHub was pointed. He did not leave for a role at another big tech firm. He left to return to his startup roots and address what he sees as a foundational mismatch between the tools developers use and the world those tools are rapidly creating.
The Problem: Code Is Outpacing the People Managing It
The core insight behind Entire is uncomfortable but accurate. Every major AI lab now ships an agentic coding product. Anthropic has Claude Code. OpenAI has Codex. Cursor ships Composer. The result is that engineering teams increasingly manage fleets of agents generating massive volumes of code around the clock. However, the infrastructure for reviewing, tracking, and understanding that code has not changed.
“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 at launch. “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.”
Furthermore, there is a new financial reality at play. Engineering leaders now budget not just for salaries but for token consumption. AI agents burn API tokens on every operation, and engineers report spending thousands of dollars per month on tokens alone. This variable cost does not scale the way headcount does, and existing tools offer no visibility into it.
What Entire Actually Builds
Entire’s platform has three components. First, a Git-compatible database that unifies all AI-produced code into a single, queryable source of truth. Second, a universal semantic reasoning layer that allows multiple AI agents to collaborate without losing context between handoffs. Third, an AI-native interface built around agent-to-human collaboration rather than human-to-human code review.
The first product shipping today is Checkpoints, an open-source CLI tool that automatically captures the full context behind every AI-generated commit: the prompts, the reasoning, and the decisions the agent made along the way. The goal is simple. A human developer reviewing an AI’s output should be able to understand not just what the agent wrote, but why it wrote it that way.
Open-sourcing the first product is also a deliberate go-to-market move. It gets Checkpoints into developer hands without a sales cycle, building the kind of grassroots adoption that enterprise platform plays depend on later.
The Backers Behind the Record Round
Felicis led the $60 million round. Additional institutional backers include Madrona, Microsoft’s M12 venture arm, Basis Set, Cherry Ventures, Picus Capital, and Global Founders Capital. The angel roster is equally notable: Yahoo co-founder Jerry Yang, Y Combinator CEO Garry Tan, Datadog CEO Olivier Pomel, and developer community figures Gergely Orosz and Theo Browne.
The breadth of the investor list matters. M12’s participation signals that Microsoft — GitHub’s owner and Dohmke’s former employer — is not treating Entire as a competitive threat. Garry Tan’s involvement connects Entire to the Y Combinator network and to the next generation of developer startups that will likely become customers. Orosz and Browne bring credibility with the working-developer audience Entire needs to win first.
Consequently, the round is less about the money and more about the signal it sends: that the infrastructure layer for agentic development is a real and urgent category, and that Dohmke is the right person to build it.
A Crowded Market, a Specific Bet
Entire enters a genuinely competitive space. Google, OpenAI, Anthropic, Microsoft, and Cursor all have developer tool products with growing install bases. However, none of them are primarily focused on the governance and transparency layer that sits above code generation. That is the gap Entire is targeting.
The analogy Dohmke reaches for is the industrial assembly line. Automotive manufacturing did not improve by making craftsmen faster. It improved by redesigning the production system entirely. His argument is that software development is at the same inflection point. Agents are now the primary producers of code. Therefore, the tools that manage software production need to be rebuilt around that reality rather than patched onto an older model.
Entire operates as a fully remote company with 15 employees, including team members who previously built developer tools at GitHub and Atlassian. The company is based in Bellevue, Washington. Plans call for doubling headcount to around 30 people in the near term, though Dohmke is explicit that headcount now includes token spend and agent capacity alongside human hires.
For context on where the broader AI coding market is heading, Cursor is already expanding beyond code editing into general-purpose agentic workflows. Meanwhile, parallel AI agents are now a stable feature in Android Studio Quail 2. Every major coding environment is adding more agents. None are adding better oversight of what those agents produce. That is the bet Entire is making, and with $60 million in the bank, it has the runway to find out if the market agrees.
Frequently Asked Questions
What is Entire and what does it do?
Entire is a developer platform founded by former GitHub CEO Thomas Dohmke. It builds tools for engineering teams that manage fleets of AI coding agents, focusing on transparency, context tracking, and collaboration between agents and human developers.
How much has Entire raised and at what valuation?
Entire raised $60 million in seed funding at a $300 million post-money valuation, in a round led by Felicis. Felicis describes it as the largest seed investment ever made in a developer tools startup.
What is Checkpoints, Entire’s first product?
Checkpoints is an open-source CLI tool that automatically records the reasoning, prompts, and decisions behind every AI-generated Git commit. It gives developers visibility into why an AI agent wrote code a particular way, not just what it wrote.
Who invested in Entire’s seed round?
Investors include Felicis (lead), Madrona, Microsoft’s M12, Basis Set, Cherry Ventures, Picus Capital, and Global Founders Capital, plus angels such as Jerry Yang, Garry Tan, Olivier Pomel, Gergely Orosz, and Theo Browne.