Ex-GitHub CEO Launches Entire, an AI-First Git Platform

A New Era of AI-Powered Coding: Former GitHub CEO Thomas Dohmke has launched Entire, a Git-compatible development platform built specifically for teamwork between human developers and artificial intelligence coding agents. Released on October 26, 2026, the platform seeks to solve a rising software development hurdle: the difficulty of reviewing and validating code produced by increasingly autonomous AI systems.

Addressing the Code Review Bottleneck: Because AI coding agents generate code at a pace that outpaces human review capacity, development teams face challenges regarding reliability, security, testing, and overall code quality. Entire tackles this disconnect by baking automated evaluations directly into the workflow, allowing teams to catch issues sooner while keeping humans in charge of critical software decisions. 

Introducing Trails for Smarter Reviews: The platform’s flagship feature, Trails, replaces conventional pull-request reviews with a fresh approach. Whenever developers push updates, the system surfaces review findings, evaluation scores, and necessary context. This helps teams gauge potential risks and decide if further fixes are needed prior to merging code into the main project.

AI Agents Evaluate and Improve Code: Through Trails, various AI agents can assess code modifications against customizable benchmarks like security and code quality standards. Agents pinpoint bugs and propose fixes, empowering coding agents to resolve issues through iterative improvement loops. Developers retain the ability to track progress, inspect outcomes, and set mandatory requirements that must be met before any code gets the green light for merging. 

Faster Git Hosting and Continuous Memory: Entire merges distributed Git hosting with a continuous memory function. According to company benchmarks, the platform facilitates code pushes up to 89 times faster than GitHub. Furthermore, Continuous Memory keeps searchable prompts and agent sessions alongside repository data, enabling coding agents to pull relevant context, prevent past errors, and cut down on excessive token usage.

Competing in the Developer Platform Market: Entire steps into a crowded sector filled with legacy development tools and newer AI-centric competitors. To strengthen its offering, the company has joined forces with Depot and Buildkite to build out integrated testing and build workflows. Teams can either host their repositories entirely on the new platform or mirror their existing GitHub repositories, providing a flexible way to test out the AI-driven review system without having to ditch their current infrastructure right away.

Human Oversight Remains Essential: Entire highlights a wider industry movement toward workflows where AI agents draft, assess, and polish code. Even so, automated checks cannot completely guarantee software security or correctness. Thorough testing, human judgment, and proper approval controls are still vital. Ultimately, the platform’s viability will hinge on whether developers grow to trust its reviews and outputs.

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