Entire.io is building a developer platform designed for the era of AI, where humans and AI agents can collaborate to build and ship software. The company was announced on February 10, 2026, by its CEO, former GitHub CEO Thomas Dohmke. The launch was supported by a landmark $60 million seed funding round at a $300 million valuation, led by Felicis, with participation from Madrona, M12, Basis Set Ventures, and others.
The company's vision addresses a fundamental shift in software development, where the massive volume of code generated by AI agents is outpacing human capacity to review and understand it. Entire aims to reimagine the software development lifecycle, creating a new system of production for a world where machines are the primary code producers, analogous to the assembly line in automotive manufacturing. The platform is being developed to be open, scalable, and independent, allowing developers to use any AI agent or model.
Entire's platform is based on three main components. The first is a git-compatible database that versions not just source code, but also the intent, constraints, and reasoning behind it. The second is a universal semantic reasoning layer that facilitates coordination between multiple AI agents. The third is an AI-native user interface designed for efficient agent-to-human collaboration, enabling developers to review and deploy numerous changes daily.
As its first product, Entire released an open-source Command Line Interface (CLI) tool called Checkpoints. This tool integrates with Git to automatically capture the context and reasoning from AI agent sessions during each commit. It records the full session, including prompts and transcripts, creating a searchable history that links agent-generated code to its original intent. This feature provides traceability and a shared memory for agents to coordinate their work. Initially, the CLI supports agents like Anthropic's Claude Code and Google's Gemini, with plans to extend support to all major agents.
Entire operates as a remote-first, globally distributed company. At its launch, the team consisted of 15 employees with experience from developer tool companies like GitHub and Atlassian, with plans to expand the engineering team to over 30. The business model is expected to follow a typical open-source approach, offering most platform functions for free while providing paid hosted services with additional features.
Keywords: developer platform, AI agents, human-agent collaboration, software development lifecycle, git-compatible database, semantic reasoning, AI-native UI, open source, CLI, version control, code generation, Thomas Dohmke, agent observability
Dealroom maps Entire's team person by person — pinpointing the standout operators and scoring them across the six dimensions investors underwrite. The counts and shape below are a public preview; the named individuals and exact scores live in the platform.
5team members profilednamed & role-tagged by Dealroom
Source: Dealroom Talent Intelligence. Public profiles show counts and the team's shape only — request a demo for the named individuals, per-person seniority and tenure, and team benchmarks vs peers.
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