Former GitHub CEO Lands Record-Breaking $60M Seed Round to Tame the AI Code Avalanche

In a jaw-dropping move that’s sending shockwaves through the developer tools landscape, former GitHub CEO Thomas Dohmke has just pulled off the largest seed round ever recorded for a developer-focused startup. His new venture, Entire, has raised a staggering $60 million at a jaw-dropping $300 million valuation — and it’s not even out of diapers yet.

The company is tackling one of the most urgent and chaotic problems facing modern software teams: the sheer, unrelenting flood of AI-generated code.

As AI coding agents like GitHub Copilot, Cursor, and others continue to spit out lines of code at superhuman speeds, developers are drowning. Pull requests pile up like digital junk mail, and the ability to review, trust, and integrate this machine-made software is rapidly becoming a crisis.

Entire’s answer? A bold, three-pronged system designed from the ground up for the AI-native era of software development.

The Three-Pillar Architecture

First, Entire introduces a Git-compatible database that acts as a unified repository for all AI-produced code. This isn’t just another version control system — it’s a semantic layer that understands the relationships between code snippets, agents, and human intent.

Second, it deploys what it calls a “universal semantic reasoning layer.” Think of this as the AI equivalent of a translator and coordinator, allowing multiple AI agents — each with their own quirks and coding styles — to collaborate without stepping on each other’s toes.

Third, Entire offers an AI-native user interface built specifically for agent-to-human collaboration. This isn’t your grandpa’s IDE. It’s designed to let developers see, search, and interact with AI-generated code in a way that makes sense — complete with context, reasoning, and even the original prompts that led to the output.

Checkpoints: The First Product

Entire’s debut product is called Checkpoints, and it’s already turning heads. Checkpoints automatically pairs every piece of software an AI agent submits with the full context that created it — including the original prompts, chat transcripts, and decision trees. This means developers can review not just the code, but the why behind it.

Imagine being able to search through thousands of AI-generated commits and instantly see the reasoning behind each one. Or being able to trace a bug back to the exact prompt that caused it. That’s the power Entire is promising.

Why This Matters

The stakes couldn’t be higher. Popular open source projects are already buckling under the weight of AI-generated contributions — some of which are little more than “AI slop”: poorly designed, barely functional code that clogs up repositories and wastes developer time.

Dohmke himself put it bluntly in the press release: “We are living through an agent boom, and now massive volumes of code are being generated faster than any human could reasonably understand. The truth is, our manual system of software production — from issues, to git repositories, to pull requests, to deployment — was never designed for the era of AI in the first place.”

This is a man who’s seen the future of coding up close. During his four-year tenure as CEO of GitHub, Dohmke oversaw the explosive rise of GitHub Copilot, the AI pair programmer that’s now used by millions. He knows firsthand how transformative — and how messy — AI-generated code can be.

The Investor Lineup

Entire’s seed round is a who’s who of tech’s elite. Felicis led the round, calling it the largest seed investment ever made in a developer tools company. Other backers include Madrona, M12 (Microsoft’s venture fund), Basis Set, Harry Stebb

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