Ex-GitHub CEO’s Dev Tool Lands $60M Seed at $300M Valuation
▼ Summary
– Former GitHub CEO Thomas Dohmke’s startup, Entire, has raised a record $60 million seed round at a $300 million valuation.
– Entire provides an open-source tool to help developers manage the large volume of code generated by AI coding agents.
– Its technology consists of a git-compatible database, a semantic reasoning layer for AI collaboration, and an AI-native user interface.
– The first product, Checkpoints, automatically pairs AI-generated code with its creation context for human review and understanding.
– The funding round was led by Felicis and included investors like Madrona, M12, and Datadog’s CEO Olivier Pomel.
A new development tool founded by former GitHub CEO Thomas Dohmke has secured a landmark $60 million seed investment, valuing the company at $300 million. The funding round, led by Felicis Ventures, represents the largest seed investment ever recorded for a developer tool startup. The company, named Entire, is building open-source technology designed to help software engineers manage the overwhelming volume of code generated by artificial intelligence.
The core challenge Entire addresses is the rapid influx of AI-produced code into software projects. 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. Dohmke argues that traditional development workflows are ill-equipped for this new reality. “We are living through an agent boom, and now massive volumes of code are being generated faster than any human could reasonably understand,” he stated. “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.”
Entire’s platform consists of three integrated components. The first is a git-compatible database that serves to unify and organize code produced by various AI agents. Git is the foundational version control system used by millions of developers and platforms like GitHub and GitLab. The second element is a universal semantic reasoning layer, engineered to enable multiple AI agents to collaborate effectively on complex coding tasks. The final piece is an AI-native user interface built to facilitate seamless collaboration between human developers and their AI counterparts.
The startup’s first publicly available product is an open-source tool called Checkpoints. This software automatically links every piece of code an AI agent submits to the specific context that created it. This includes the original prompts given to the AI and the full transcripts of its reasoning process. The goal is to provide human developers with full visibility, allowing them to review, search, and understand the AI’s decision-making. This transparency aims to make AI-generated code more auditable and trustworthy.
Dohmke brings significant industry credibility to the venture, having led GitHub for four years and overseen the rise of the immensely popular AI coding assistant, GitHub Copilot. The substantial seed round attracted a notable list of investors beyond Felicis, including Madrona, M12, Basis Set, and angel investors like Harry Stebbings, Jerry Yang, and Datadog’s founder and CEO Olivier Pomel. The significant early investment and high valuation underscore the intense investor interest in solutions that tame the complexities introduced by AI in software development.
(Source: TechCrunch)
