GitHub's former CEO launches a distributed Git network built for the agentic coding age

2026-07-08 · Source: News and Advice on the World's Latest Innovations | ZDNET · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, short

Summary

Entire, a new developer platform founded by former GitHub CEO Thomas Dohmke, has launched a decentralized Git network in preview to address the increasing unreliability of GitHub and the strain from "agentic coding." This distributed network allows developers to host repositories globally, mitigating risks and improving speed, especially for those impacted by GitHub's recent outages. Entire integrates with popular coding agents like Codex, Claude Code, Cursor, and GitHub Copilot, storing session data alongside code. Initial testing demonstrated robust performance, supporting approximately 570,000 clones per hour from one repository and maintaining 586 pushes per second. The platform also includes a "semantic memory layer" to detect agent errors and offers features like Blame and Review for enhanced visibility into agent-generated code. Entire plans to fully decentralize its network, enabling data residency and sovereignty.

Key takeaway

For AI Engineers and Directors of AI/ML managing agent-driven development, if you are experiencing performance bottlenecks or outages with centralized Git platforms, Entire's decentralized network offers a compelling alternative. You can offload heavy agent read traffic and gain enhanced visibility into agent-generated code, improving workflow reliability and speed. Consider joining the waitlist to evaluate its regional mirroring capabilities, but be mindful of the inherent risks associated with building on venture-capital-backed services.

Key insights

Decentralized Git networks offer a scalable, resilient solution for agent-driven coding, mitigating centralized platform pressures.

Principles

• Distributed networks enhance resilience and performance for global developer teams.
• Agent-driven development requires specialized version control features.

Method

Developers can mirror existing GitHub repositories onto Entire, allowing agents to clone and pull from regional mirrors to offload heavy read traffic.

In practice

• Offload agent-generated read traffic from GitHub using Entire mirrors.
• Integrate agent session data directly with code repositories.
• Utilize semantic memory layers for agent error detection.

Topics

• Decentralized Git
• Agentic Coding
• Developer Platforms
• Distributed Version Control
• GitHub Alternatives
• AI Agents

Best for: CTO, VP of Engineering/Data, AI Architect, AI Engineer, Software Engineer, Director of AI/ML

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• abhigyanpatwari / GitNexus — GitNexus builds a knowledge graph of codebases to provide AI agents with deep, precomputed architectural context.
• The Rise of Cloud Coding Agents — Cloud-based AI coding agents enable asynchronous, autonomous development workflows, enhancing scalability over traditional desktop agents.

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Editorial summary, takeaway, and curation by AIssential. Original article published by News and Advice on the World's Latest Innovations | ZDNET.