[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-entire-agent-git-network-ai-code-trust-en":3,"article-related-entire-agent-git-network-ai-code-trust-en":33,"series-industry-f859ed0b-8852-4999-9400-c8af204f7491":80},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":25,"views":29,"created_at":30,"published_at":31,"topic_cluster_id":32},"f859ed0b-8852-4999-9400-c8af204f7491","entire-agent-git-network-ai-code-trust-en","Entire’s agent Git network fixes AI code trust","\u003Cp>How does Entire’s Git network for agents make AI code safer?\u003C\u002Fp>\u003Cp data-speakable=\"summary\">Entire is building a Git-style network for agents that adds verification and isolation to AI code.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Item\u003C\u002Fth>\u003Cth>What it adds\u003C\u002Fth>\u003Cth>Why it matters\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Git-style agent network\u003C\u002Ftd>\u003Ctd>Versioned, trackable actions\u003C\u002Ftd>\u003Ctd>Makes agent work easier to audit\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>WebAssembly runtime\u003C\u002Ftd>\u003Ctd>Sandboxed execution\u003C\u002Ftd>\u003Ctd>Reduces exposure from untrusted code\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Verification layer\u003C\u002Ftd>\u003Ctd>Checks before merge or use\u003C\u002Ftd>\u003Ctd>Helps catch bad outputs earlier\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Agent collaboration model\u003C\u002Ftd>\u003Ctd>Shared execution and review flow\u003C\u002Ftd>\u003Ctd>Fits multi-agent development\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. Git-style network for agent work\u003C\u002Fh2>\u003Cp>Entire is pitching a system that treats agent activity more like source control than a black box. Instead of letting an \u003Ca href=\"\u002Ftag\u002Fai-agent\">AI agent\u003C\u002Fa> act on code with no durable record, the network keeps its work in a format that can be tracked, reviewed, and compared.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783645361637-8eto.png\" alt=\"Entire’s agent Git network fixes AI code trust\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That matters because agentic development is moving from chat to execution. Once an \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> can edit files, run commands, or call services, teams need a way to answer basic questions: what changed, who changed it, and whether the change was safe.\u003C\u002Fp>\u003Cul>\u003Cli>Tracks agent actions as discrete events\u003C\u002Fli>\u003Cli>Supports review and replay of work\u003C\u002Fli>\u003Cli>Fits code-centric team workflows\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. WebAssembly runtime isolation\u003C\u002Fh2>\u003Cp>The article points to WebAssembly as a way to contain the most dangerous part of agentic systems: running code that may not be trusted. A WebAssembly sandbox can limit what an agent’s code can touch, which is especially useful when the agent is generating or executing code on the fly.\u003C\u002Fp>\u003Cp>This is the security angle that makes the story more than a workflow pitch. If an agent can run code, then the runtime becomes part of the security boundary. WebAssembly gives vendors and platform teams a cleaner control point than letting the agent loose in a full host environment.\u003C\u002Fp>\u003Cul>\u003Cli>Limits access to host resources\u003C\u002Fli>\u003Cli>Creates a tighter execution boundary\u003C\u002Fli>\u003Cli>Can be used for agent-generated code and tools\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. Verification before action\u003C\u002Fh2>\u003Cp>Entire’s approach also centers on verification. The New Stack frames agentic development as a process that depends on checking outputs before they are trusted, which is a direct response to the error-prone nature of LLM-driven code generation.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783645367218-fxqf.png\" alt=\"Entire’s agent Git network fixes AI code trust\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>In practice, that means the system is not just about running agents faster. It is about making sure the result can be examined, validated, and rejected when needed. For teams already dealing with \u003Ca href=\"\u002Ftag\u002Fcode-review\">code review\u003C\u002Fa>, tests, and CI, that is a familiar shape, even if the actor is now an agent.\u003C\u002Fp>\u003Ccode>agent_output -> verify -> approve -> execute\u003C\u002Fcode>\u003Ch2>4. A model for multi-agent development\u003C\u002Fh2>\u003Cp>The broader idea is that agents should not work as isolated helpers. A Git network implies coordination: multiple agents, shared state, and a common record of what happened. That is useful when one agent drafts code, another tests it, and a third checks policy or security rules.\u003C\u002Fp>\u003Cp>That kind of setup could appeal to platform teams that want AI assistance without giving up control. It also lines up with the industry’s shift toward agentic workflows, where the real issue is not whether an agent can write code, but whether the system around it can govern that code.\u003C\u002Fp>\u003Cul>\u003Cli>Supports agent-to-agent handoffs\u003C\u002Fli>\u003Cli>Creates a shared audit trail\u003C\u002Fli>\u003Cli>Works better for teams than for solo experimentation\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. Why the security gap matters now\u003C\u002Fh2>\u003Cp>The article’s core claim is simple: \u003Ca href=\"\u002Ftag\u002Fai-agents\">AI agents\u003C\u002Fa> become much riskier once they can execute code, and most current setups do not contain that risk well enough. The piece argues that WebAssembly could close that gap by making execution safer without blocking agent productivity.\u003C\u002Fp>\u003Cp>That is why Entire’s pitch matters beyond one startup. It reflects a larger shift in \u003Ca href=\"\u002Ftag\u002Fai-infrastructure\">AI infrastructure\u003C\u002Fa>, where the question is no longer only what the model can say, but what the agent can safely do in production systems.\u003C\u002Fp>\u003Cul>\u003Cli>Execution is the new risk surface\u003C\u002Fli>\u003Cli>Sandboxing is becoming a default requirement\u003C\u002Fli>\u003Cli>Auditability is now part of AI infrastructure\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>How to decide\u003C\u002Fh2>\u003Cp>If you are building agentic tools for software teams, Entire’s model is most relevant when you need audit trails, controlled execution, and a way to review agent output before it touches production. It is less about flashy model features and more about governance.\u003C\u002Fp>\u003Cp>If your priority is pure model quality, this is not the main story. If your priority is letting agents run code without turning your runtime into a security gamble, the Git-plus-WebAssembly approach is the one to watch.\u003C\u002Fp>","4 ways Entire’s Git network for agents could narrow AI code risk, with WebAssembly isolation and verification built in.","thenewstack.io","https:\u002F\u002Fthenewstack.io\u002Fentire-git-for-agents\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783645361637-8eto.png","industry","en","0254d671-ea12-452e-9d96-681f8cc68e92",[17,18,19,20,21,22,23,24],"Entire","WebAssembly","AI agents","agentic development","code security","Git","runtime isolation","verification",[26,27,28],"Entire is framing agent work as a Git-like, reviewable process.","WebAssembly is the security piece that can isolate agent-run code.","Verification and audit trails matter as agents move from chat to execution.",0,"2026-07-10T01:02:20.308427+00:00","2026-07-10T01:02:20.301+00:00","d19fc184-5852-4c4d-9ec0-db0c4841ac17",{"tags":34,"relatedLang":39,"relatedPosts":43},[35,37],{"name":18,"slug":36},"webassembly",{"name":19,"slug":38},"ai-agents",{"id":15,"slug":40,"title":41,"language":42},"entire-agent-git-network-ai-code-trust-zh","Entire 的 Git 網路把 AI 程式風險收緊了","zh",[44,50,56,62,68,74],{"id":45,"slug":46,"title":47,"cover_image":48,"image_url":48,"created_at":49,"category":13},"1900612c-f077-464f-a119-fc5ed1e797da","openai-gov-partnerships-access-policy-en","OpenAI's gov partnerships turn access into policy","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783685002710-nclw.png","2026-07-10T12:02:54.103624+00:00",{"id":51,"slug":52,"title":53,"cover_image":54,"image_url":54,"created_at":55,"category":13},"bb07f0e8-3428-48f1-9cd0-b3a7aaa7320b","kubernetes-ai-assisted-maintainership-rules-en","Kubernetes sets rules for AI-assisted maintainership","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783672388097-3f4c.png","2026-07-10T08:32:42.594785+00:00",{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":13},"fc480b4f-a0ce-42bd-9376-b1fcae0dfaeb","byoa-vibe-coding-apps-only-path-en","BYOA is the only path for vibe coding apps","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783670583853-dpqn.png","2026-07-10T08:02:31.097493+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":13},"f3784b2e-d3f1-4acf-a10f-7e9bbc5972e5","ai-models-are-eating-the-software-stack-en","AI models are eating the software stack, and app-layer companies are …","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783668785504-2rxt.png","2026-07-10T07:32:36.937951+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":13},"5de2214c-b32f-4c0e-a886-a110c6ad1b39","ml-project-index-every-skill-level-en","This ML project index covers every skill level","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783650769364-jdbc.png","2026-07-10T02:32:23.516302+00:00",{"id":75,"slug":76,"title":77,"cover_image":78,"image_url":78,"created_at":79,"category":13},"4b18ecde-7abc-4e2d-b065-081f61696c31","openai-54-token-efficiency-ai-coding-battleground-en","OpenAI’s 54% token-efficiency gain is the real AI coding battleground","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783643566841-zvjm.png","2026-07-10T00:32:20.95346+00:00",[81,86,91,96,101,106,111,116,121,126],{"id":82,"slug":83,"title":84,"created_at":85},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","2026-03-25T16:20:33.205823+00:00",{"id":87,"slug":88,"title":89,"created_at":90},"5ed27921-5fd6-492e-8c59-78393bf37710","trumps-ai-legislative-framework-en","Trump's AI Legislative Framework: What's Inside?","2026-03-25T16:22:20.005325+00:00",{"id":92,"slug":93,"title":94,"created_at":95},"e454a642-f03c-4794-b185-5f651aebbaca","nvidia-gtc-2026-key-highlights-innovations-en","NVIDIA GTC 2026: Key Highlights and Innovations","2026-03-25T16:22:47.882615+00:00",{"id":97,"slug":98,"title":99,"created_at":100},"0ebb5b16-774a-4922-945d-5f2ce1df5a6d","claude-usage-diversifies-learning-curves-en","Claude Usage Diversifies, Learning Curves Emerge","2026-03-25T16:25:50.770376+00:00",{"id":102,"slug":103,"title":104,"created_at":105},"69934e86-2fc5-4280-8223-7b917a48ace8","openclaw-ai-commoditization-concerns-en","OpenClaw's Rise Raises Concerns of AI Model Commoditization","2026-03-25T16:26:30.582047+00:00",{"id":107,"slug":108,"title":109,"created_at":110},"b4b2575b-2ac8-46b2-b90e-ab1d7c060797","google-gemini-ai-rollout-2026-en","Google's Gemini AI Rollout Extended to 2026","2026-03-25T16:28:14.808842+00:00",{"id":112,"slug":113,"title":114,"created_at":115},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results 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