Joined April 2023
60 Photos and videos
This is one of the clearest explanations of the gap between: “stored knowledge” and “living knowledge”. GitHub can version documents. But organizations also run on conversations, decisions, reasoning, moderation, experiments, and evolving context.
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Everyone, please help offer some suggestions to gitdata.ai and experience Git rooms

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Git isn't friendly to humans. That's exactly why it's the perfect knowledge infrastructure for the AI Agent era. The future of company knowledge isn't another doc tool. It's a repo.
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Developing data = developing applications.
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AI Agent Skills = Curated Operational Knowledge
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AI agents are only as good as the data layer behind them.
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Agent ≈ software engineer
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What remains if you remove the AI layer?
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Three years in the building. GitData is now live (beta). gitdata.ai A Git-native context layer for the AI era: • Repositories = context • Rooms = orchestration • Agents = collaborators • Tasks = learning loops Humans and AI, working on versioned intelligence.
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GitData: Compounding Engineering for Humans and Agents
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8. GitData. AI Is the Memory Layer We do not build every agent or workflow. We provide the substrate that allows intelligence to compound.
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9. The Future Is Durable Learning Better models matter. But memory architectures decide who wins.
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