Entire

AMW Analysis

Entire is building a developer platform that creates a shared environment for human developers and AI agents to collaborate on code in real time, addressing the synchronization and governance challenges that arise when AI agents produce code at high volume. The company positions itself as a solution to the “agentic era” problem of lost context and versioning conflicts, providing a unified workspace for building, reviewing, and managing code together.

The startup launched with a $60 million seed round at a $300 million valuation, backed by Felicis, Madrona, M12 (Microsoft’s venture fund), and Basis Set Ventures. In the months following its funding announcement, Entire introduced an open-source tool called Checkpoints that extends Git to capture AI agent sessions—including prompts, transcripts, token usage, and reasoning—on dedicated branches. This product aims to make AI-generated code human-reviewable by linking it to its original reasoning context, signaling a pivot toward semantic transparency layers as traditional Git workflows struggle with agentic output volumes. The funding and product trajectory point to strong investor belief that developer tools for agent governance will become a core infrastructure layer.

AMW analysis, generated from 4 tracked news signals.