$60M for a seed round used to be the kind of headline that made the Valley spit out its cold brew. Now it is the opening chord. And when Thomas Dohmke walks back onto the stage, people listen.
Entire just secured $60M in seed funding at a $300M valuation. Felicis led the round, with Madrona, M12, and Basis Set in the mix. Angels include Gergely Orosz, Theo Browne, Jerry Yang, Olivier Pomel, and Garry Tan. That is not a cap table. That is a signal flare.
Congratulations to Thomas Dohmke, Founder and CEO of Entire, for stepping out of GitHub and straight into the next act. When the former CEO of the platform that defined collaborative coding says the workflow is broken, that is not noise. That is someone who has seen the machine from the inside.
Entire is building an AI native developer platform designed for a world where code is written by agents as often as humans. The first product, Checkpoints, is an open source CLI that captures prompts, reasoning, and execution traces from coding agents and stores them directly in Git. Not screenshots. Not side chats. Versioned context. If Git tracks what changed, Entire tracks why it changed.
That distinction matters. We are in the middle of an agent boom. Code is being generated at a velocity that makes traditional review processes look like dial up in a fiber world. Enterprises want speed, but they also want auditability. Regulators do not care that the bug was written by an AI. Security teams do not accept vibes as documentation.
Entire treats agent reasoning as first class data. Prompts, constraints, decisions, execution logs, all committed alongside source code. Checkpoints already supports Anthropic Claude Code and Google Gemini CLI, with plans to extend further. This is not another copilot layer. It is infrastructure for when the copilots start flying the plane.
Remote first and headquartered in Seattle, Entire is still small, roughly 15 people, with plans to grow beyond 30 engineers. Lean team. Heavy ambition. The kind of ratio that makes investors lean forward.
There is a deeper lesson here. The biggest opportunities are not always in building smarter agents. Sometimes the money is in building the guardrails, the memory, the institutional brain that keeps speed from turning into chaos. Governance is not glamorous, until it is the only thing standing between you and a headline you do not want.
Entire is betting that the future of software is not just human plus AI. It is fleets of agents collaborating with humans, and someone has to keep the receipts. In a world where code writes itself, the company that remembers the reasoning might just own the narrative.
