Startup Entire Launches AI-Driven Code Hosting Platform

The new Git-compatible platform features an automated code review system designed to replace traditional pull requests.

Updated on Oct. 26, 2026 in Artificial Intelligence

Isometric editorial illustration of interconnected geometric modular blocks, representing an automated data processing system for AI code management.
Entire has launched a Git-compatible code hosting platform featuring Trails, an automated agentic system designed to manage and review AI-generated code. AI Illustration. Upload story photo >

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Would you trust an AI-driven system to automatically approve code changes without human oversight?

Startup Entire has launched a Git-compatible code hosting platform that utilizes an agentic review system called Trails. This platform is designed to manage the high volume of code changes generated by AI agents by providing continuous memory and automated review capabilities.

Why it matters

The platform aims to eliminate the bottleneck created by manual code reviews as AI-generated code production continues to increase in volume. By automating these reviews, the system seeks to maintain development speed while ensuring code quality.

The platform offers a distributed source control server with regional hosting in the U.S., Europe, India, and Australia. It integrates with Buildkite and Depot to allow developers to convert existing GitHub Actions workflows for use with its agentic review agents.

The players

Entire

Entire is a startup that recently secured $60 million in seed funding to develop new tools for AI-driven code management.

GitHub

GitHub is a major industry standard platform for code hosting and development workflows.

Claude

Claude is a family of large language models developed by Anthropic that powers the review agents on the platform.

OpenAI

OpenAI is an artificial intelligence research organization that provides the models used for the platform's review agents.

The details

Entire provides preset review agents that allow users to configure processes using Claude or OpenAI models. New users receive a $100 starter credit to cover the costs of tokens consumed by these agents during the automated review process.

Timeline

  1. February 2026: Entire announced its $60 million seed round.

  2. Summer 2026: The company's distributed source control server debuted.

  3. October 26, 2026: The platform officially launched.

  4. October 28, 2026: The GitHub Universe event begins.

The Tech Race

This platform directly competes with industry standards like GitHub by challenging the necessity of manual pull requests. It signifies a shift toward agent-centric development environments where AI tools handle the verification of code changes rather than relying on human-centric legacy systems.

Developers can utilize the $100 starter credit to integrate their existing repositories and test the platform's automated code review capabilities. Users should note that while the hosting is free, costs will accrue based on the token usage of the review agents.

The takeaway

The transition to agent-driven code review suggests that developers will need to become more comfortable with automated evaluation workflows. Teams should begin auditing their current CI processes to determine if their existing scripts are compatible with this new model-driven architecture.

Further reading

For more information on the evolving development landscape, visit Artificial Intelligence.

Live Poll

Would you trust an AI-driven system to automatically approve code changes without human oversight?