Ex-GitHub CEO Raises $60M for Entire, Launches Open-Source Tool to Link Human Developers and AI Agents

Thomas Dohmke, who left his executive role at GitHub, has closed a $60 million funding round to seed a new company focused on bridging human programmers and AI coding assistants. Entire’s initial offering is an open-source system designed to capture the contextual signals that AI coding agents generate during development, preserving those traces alongside human-authored code. The product aims to make AI-produced suggestions and transformations transparent, enabling teams to trace how a change originated and why it was proposed. By storing agent context, Entire attempts to reduce duplicated effort when multiple AI tools or team members interact with the same codebase. The approach is positioned to support reproducibility, allow organizations to audit AI outputs, and provide a historical record that can inform future automated suggestions. Launching as open source lowers the barrier for adoption among developers and encourages community contributions to the core integration patterns. For companies wrestling with multiple AI assistants, the tool offers a coordination layer rather than another proprietary assistant. Investors backing the round are placing a bet on tooling that treats AI agents as collaborators whose work needs tracking, not as opaque oracles. If widely adopted, the technology could shift how organizations manage code provenance, compliance, and the attribution of automated changes. The move also signals a broader market opportunity for infrastructure that makes AI augmentation interoperable across existing developer workflows. Early traction will hinge on developer trust, ease of integration, and the ability to demonstrate clear productivity or risk-management benefits. In short, Entire is betting that recording what AI agents do will become as essential as version control for human changes, and that being first to standardize that record creates a durable platform advantage.