In the last few months alone, the fundamental role of a developer has been refactored. From Anthropic’s Claude Code with Opus 4.6, to OpenAI’s latest GPT-5.3-Codex agentic coding model, to Cursor’s Composer 2.0 and more, advancements in agentic intelligence have turned the flow of coding on its head. The terminal is becoming the new center of gravity, as developers prompt fleets of agents across multiple terminal windows at once.
Spec-driven development is becoming the primary driver of code generation. Agents now interoperate in parallel, generating and evaluating hundreds of variants simultaneously. As a result, massive volumes of code are being generated faster than any human can reasonably understand.
Yet today, we still rely on a software development lifecycle built before the era of the cloud, inherently designed for human-to-human collaboration. And the cracks are forming. Issues were designed for human planning and tracking, not as structured, machine-readable units of work. Git repositories were never extended to version everything developers build with in the AI era. Pull requests simply do not scale for large monorepos. Every day, agents are being choked and throttled by centralized API capacity and rate limits. The truth is: the entire software ecosystem is being bottlenecked by a manual system of production that was never designed for the era of AI in the first place. A system that cannot be retrofitted for what’s ahead.
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Just like when automotive companies replaced the traditional craft-based production system with the moving assembly line, we must now reimagine the entire software development lifecycle for a world where machines are the primary producers of code. Creating the assembly line for the era of agents.
Announcing Entire: The world’s next developer platform
This is the purpose of our new company Entire, to build the world’s next developer platform where agents and humans can collaborate, learn, and ship together. A platform that will be open, scalable, and independent for every developer, no matter which agent or model you use.
Entire will be based on three key components: a git-compatible database that unifies code, intent, constraints, and reasoning in a single version-controlled system; a universal semantic reasoning layer that enables multi-agent coordination through the context graph; and an AI-native software development lifecycle to reinvent the software development lifecycle for agent-to-human collaboration.
In pursuit of this vision, we are proud to be backed by a $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.
Our first release: The Entire CLI to track agent context
Today, agent sessions are ephemeral. Prompts live in terminals and reasoning lives in context windows. The decisions, constraints, and iteration that produce code disappears the moment you close the session. Git preserves what changed, but nothing about why. With agents generating hundreds or thousands of lines per session, this context loss compounds fast. Without shared context, agents can’t collaborate effectively. They retrace steps, duplicate reasoning, waste tokens, and lose the thread of decisions made hours or days earlier.
Our first ship makes that missing context durable:
Checkpoints are a new primitive that automatically captures agent context as first-class, versioned data in Git. When you commit code generated by an agent, Checkpoints capture the full session alongside the commit: the transcript, prompts, files touched, token usage, tool calls and more. This context becomes the foundational write-path of our semantic reasoning layer. You can browse checkpoints by branch, drill into individual sessions, and trace how your codebase evolved through human-and-agent collaboration commit by commit.https://www.youtube-nocookie.com/embed/BOnI6469vMk?si=RHyWiBO_rTGgpkXE&modestbranding=1&rel=0&iv_load_policy=3
Our plan is to support Checkpoints for every agent. Today, Entire CLI ships with support for Anthropic’s Claude Code and Google Gemini CLI. Codex, Cursor CLI, and other agents coming soon.
How it works
Checkpoints run as a Git-aware CLI. On every commit generated by an agent, it writes a structured checkpoint object and associates it with the commit SHA. The code stays exactly the same, we just add context as first-class metadata. When you push your commit, Checkpoints also pushes this metadata to a separate branch (entire/checkpoints/v1), giving you a complete, append-only audit log inside your repository. As a result, every change can now be traced back not only to a diff, but to the reasoning that produced it.
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