Former GitHub CEO lands record $60M seed to solve AI code chaos
Former GitHub CEO Thomas Dohmke has raised a record $60M seed round for Entire. The startup aims to build the infrastructure for managing AI-generated code, starting with an open-source tool called Checkpoints.
.png%3Falt%3Dmedia%26token%3Dae31774b-c526-4285-aece-d86412a814eb&w=3840&q=75)
Thomas Dohmke, founder of Entire
Key Highlights
- •Entire raised $60 million at a $300 million valuation, the largest seed ever for dev tools.
- •The open source CLI tool links AI code directly to the prompts and context that created it.
- •Post AI Infrastructure: The platform moves beyond code generation to create a governance layer for autonomous AI agents.
The software development industry is hitting a wall, and Thomas Dohmke is betting $60 million that he can tear it down. Just months after stepping down as the head of Microsoft-owned GitHub, Dohmke has secured a record-breaking $60 million seed round for his new venture, Entire. The investment, which values the startup at $300 million, is officially the largest seed round ever recorded for a developer tools company. As AI agents from OpenAI, Anthropic, and Google flood repositories with machine-written code at an unprecedented scale, Entire is pitching itself as the "moving assembly line" for an era where machines, not humans, are the primary producers of software.
Rebuilding the factory floor
The problem Entire aims to solve is what Dohmke calls the "review bottleneck." Traditional version control systems like Git were built for humans writing code line-by-line, a "craft-based" system that is buckling under the pressure of AI. Today, AI agents can generate hundreds of lines of code in seconds, but the reasoning, prompts, and context behind those changes are typically lost once a chat session ends. This creates a traceability nightmare for human engineers who must approve and maintain this machine-generated output.
To fix this, Entire is building an open-source infrastructure that treats agent reasoning as a first-class citizen. Its first product, Checkpoints, is an open-source command-line tool that links every AI-written commit to the specific prompt and transcript that created it. By storing this metadata in a separate git-compatible branch, Entire allows developers to "rewind" to any point in an agent's logic to understand why a specific change was made, rather than just what was changed.
The $300M bet on agentic infrastructure
The scale of this funding reflects a massive shift in investor sentiment toward "post-AI" developer platforms. The round was led by Felicis, with a heavy-hitting roster of participants including Microsoft’s M12, Madrona, and angel investors like Datadog CEO Olivier Pomel and Y Combinator CEO Garry Tan.
"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 in the company's launch announcement.
Beyond Checkpoints, Entire is developing a semantic reasoning layer designed to help multiple AI agents coordinate their work without stepping on each other's digital toes. For the business world, the implications are clear: as companies treat AI consumption as an operating cost rather than an experiment, tools that reduce duplicate work and inference costs will become the new standard for the enterprise. With 15 employees and a plan to double its engineering team immediately, Entire isn't just building a tool; it's building the governance layer for the future of software.
