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Entire, a GitHub competitor from former GitHub CEO, launches with agent-first platform

🔄 Updated 11d ago
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Key points

  • Entire is a new developer platform from former GitHub CEO Thomas Dohmke.
  • It replaces pull requests with 'Trails' for agent-scored code evaluations.
  • Uses a decentralized Git network for faster hosting and resilience.
  • Features 'Continuous Memory' to reduce agent token usage for context.

Entire Platform Launch

Entire, a new developer platform, has officially launched. The platform is led by former GitHub CEO Thomas Dohmke and is designed to address the evolving needs of developers in an era of increased AI-generated code. It aims to provide solutions for bottlenecks and infrastructure demands created by faster coding paces.

Agent-First Code Review with Trails

A core differentiator of Entire is its replacement of traditional pull requests with a feature called 'Trails'. Trails provide developers with a heads-up display where customized evaluations are scored by coding agents on every code push. This system allows agents to address findings in a loop, with human developers validating progress, and enables code merges without manual line-by-line review once evaluations are satisfied.

Entire states that these agents are customizable, and the platform tracks token usage for each agent within a trail. The system treats the idea, agent trace, and session outcome as first-class artifacts for review alongside the code itself.

Decentralized Git Network and Performance

The platform operates on Entire’s decentralized Git network, which was initially announced in July. This network is designed to handle the increased load from AI coding activity, which has contributed to GitHub outages. Entire claims its Git hosting is up to 89 times faster than GitHub and six times faster than Cursor origin.

Developers can create, migrate, and host private repositories across multiple global locations, starting with the US, India, Australia, and the EU.

Continuous Memory for Agents

Entire also introduces 'Continuous Memory,' a feature that stores developer session logs alongside code in the repository. This data source allows agents to search for answers, which Entire states can reduce token usage by up to 71% by providing immediate context, similar to memory features in AI chatbots.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

Entire, a new developer platform from former GitHub CEO Thomas Dohmke, is now live, offering an agent-first approach to coding. It replaces traditional pull requests with 'Trails' for code review and uses a decentralized Git network for faster hosting, aiming to address challenges from increased AI coding activity.