Entire launches AI-first developer platform to compete with GitHub
Entire, a new developer platform founded by former GitHub CEO Thomas Dohmke, has launched with features designed to automate code review and decentralize Git hosting. The platform targets AI-driven workflows, offering alternatives to traditional pull requests and claiming faster performance than competitors like GitHub and Cursor.
Editor, Lazyfounder
A platform built for AI-driven coding
Entire, a new developer platform led by former GitHub CEO Thomas Dohmke, has launched with a focus on AI-driven workflows. The platform is designed to address bottlenecks in coding accelerated by AI, offering alternatives to traditional pull requests and centralized Git hosting.
According to ZDNET, Entire replaces pull requests with a system called Trails. This feature uses AI agents to evaluate and score code changes, aiming to automate and streamline the review process for AI-generated code.
Decentralized Git and performance claims
Entire is built on a decentralized Git network, announced earlier this year, to mitigate outages caused by increased AI coding activity. The platform claims its Git hosting is significantly faster than competitors, including GitHub and Cursor, though specific benchmarks were not provided.
Private repositories can be hosted in the US, India, Australia, and the EU, catering to global development teams. The platform also introduces Continuous Memory, a feature that retains developer session logs alongside code to reduce token usage by up to 71%. This system leverages past sessions and prompts to avoid redundant mistakes and improve agent efficiency.
Why this matters for developers
Entire’s launch reflects a broader shift in developer platforms toward AI-first infrastructure. By automating code review and decentralizing Git hosting, the platform aims to reduce friction for teams using AI to generate and manage code. Its availability in multiple regions, including India, may appeal to distributed teams seeking faster performance and localized hosting.
The platform’s emphasis on reducing token usage and improving agent efficiency could also lower operational costs for startups leveraging AI coding tools. This aligns with findings from Suvan Ventures’ recent report on lean AI scaling, which highlights cost optimization as a key driver for growth in AI-native startups.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
Entire’s launch signals growing competition in the developer platform space, particularly as AI transforms how code is written and reviewed. Founders and operators should note the platform’s focus on decentralization and automation—features that could address pain points like GitHub outages and manual code reviews. For teams in India and other supported regions, the option for localized hosting may improve latency and compliance. However, the platform’s long-term impact will depend on adoption and how well it delivers on its performance claims.
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About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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