Entire Announces its Launch with the Biggest Seed Round in Developer Platform Space

Entire, building the world’s next developer platform where humans and agents collaborate, learn, and ship together, led by Thomas Dohmke, and others, has announced its launch with $60 million seed investment led by Felicis, with support from Madrona, M12, Basis Set, 20VC, Cherry Ventures, Picus Capital, and Global Founders Capital. Entire is further backed by a slate of international investors, including Gergely Orosz, Theo Browne, Jerry Yang, Olivier Pomel, Garry Tan, and others, who all understand that software development is ready for its next platform shift.

The software development landscape is being transformed. Agentic intelligence, seen in Claude Code with Opus 4.6, GPT-5.3-Codex, Cursor’s Composer 2.0, and others, is accelerating code generation, with fleets of agents producing and evaluating hundreds of variants in parallel. Terminals have become hubs for orchestrating these agents, and spec-driven development now dominates.

Current software lifecycles, designed for human-to-human collaboration, are showing their limits. Issues, Git repositories, and pull requests were never built for machine-scale production, leading to bottlenecks in monorepos and API capacity.

The solution lies in rethinking the entire development pipeline, akin to the automotive shift to assembly lines: building a scalable software assembly line for a world where machines are the primary producers of code.

Introducing Entire: the next-generation developer platform designed for seamless collaboration between humans and AI agents. Entire is open, scalable, and independent of any specific model or agent, empowering every developer to build, coordinate, and ship effectively in the AI era.

The platform rests on three pillars:

1. Git-compatible database – unifies code, intent, constraints, and reasoning in a single version-controlled system.

2. Universal semantic reasoning layer – enables multi-agent coordination through a shared context graph.

3. AI-native software development lifecycle – reimagines the workflow for agent-to-human collaboration at scale.

Introducing the Entire CLI: preserving agent context

Today, agent sessions are fleeting. Prompts, reasoning, and decisions vanish once the session ends. Git captures what changed, but not why. With agents generating hundreds or thousands of lines, context loss compounds, collaboration suffers, reasoning is duplicated, and work is wasted.

The first release solves this with Checkpoints:

• A new primitive that automatically captures agent context as versioned, first-class data in Git.

• Each commit preserves the full session: transcripts, prompts, files touched, token usage, tool calls, and more.

• Checkpoints form the foundation for Entire’s semantic reasoning layer, letting developers browse by branch, inspect sessions, and trace how code evolved through human-and-agent collaboration, commit by commit.

Support for Checkpoints is planned across major CLI agents. The Entire CLI currently includes integration with Anthropic’s Claude Code and Google’s Gemini CLI, with support for additional agents such as Codex and Cursor CLI coming soon.

How it works

Checkpoints run as a Git-aware CLI, capturing structured metadata for every agent-generated commit without changing the code itself. Metadata is pushed to a dedicated branch (entire/checkpoints/v1), creating a complete, append-only audit log.

Benefits:

• Traceability: Inspect the reasoning behind any change

• Faster reviews: Focus on intent and constraints, not just diffs

• Seamless handoffs: Resume work without replaying sessions

• Efficiency: Reduce repeated mistakes and token waste