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Collaborate with an Asynchronous Agent. In Antigravity, don't wait for the output. Comment on the agent's artifacts in real-time to steer the ship without stopping the engine.

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Google Antigravity

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89,800 просмотров • 5 месяцев назад •via X (Twitter)

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You can decide how much autonomy you give to the agent in Google Antigravity Drop asynchronous feedback within artifacts and the agent folds it in when the time is right.
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You can decide how much autonomy you give to the agent in Google Antigravity Drop asynchronous feedback within artifacts and the agent folds it in when the time is right.

Google Antigravity

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With Antigravity, you collaborate with your agent using Google Docs-style commenting. Highlight specific sections of your app or data tables to provide contextual feedback and refine features in real time. Learn how to collaborate with Artifacts, here →
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With Antigravity, you collaborate with your agent using Google Docs-style commenting. Highlight specific sections of your app or data tables to provide contextual feedback and refine features in real time. Learn how to collaborate with Artifacts, here →

Google Cloud Tech

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Built in Antigravity 2.0 and executing through the Antigravity SDK, the agent builds a full-stack collaborative Markdown editor with real-time multi agent state syncing and live previewing fast on 3.6 Flash. ⚡
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Built in Antigravity 2.0 and executing through the Antigravity SDK, the agent builds a full-stack collaborative Markdown editor with real-time multi agent state syncing and live previewing fast on 3.6 Flash. ⚡

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In Antigravity, we’ve reimagined how you collaborate with Agents using Artifacts. Artifacts go beyond text. They are dynamic intermediates to communicate agentic progress like screen recordings, diagrams, or markdown. And you can leave feedback right on the artifact itself.
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In Antigravity, we’ve reimagined how you collaborate with Agents using Artifacts. Artifacts go beyond text. They are dynamic intermediates to communicate agentic progress like screen recordings, diagrams, or markdown. And you can leave feedback right on the artifact itself.

Google Antigravity

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Start building real apps for the modern web with the Google Antigravity coding agent and Firebase integration, now in Google AI Studio. Develop a real-time, 3D multiplayer snake arena built with Three.js and collect orbs to dominate the neon grid 🐍
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With CLI tools like Flutter, Vite, and Genkit constantly adding new flags, agents often miss a requirement. The Antigravity agent bridges this gap by parsing terminal output in realtime. It monitors the console logs to autonomously identify requirements and insert the necessary inputs to keep the workflow moving.
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With CLI tools like Flutter, Vite, and Genkit constantly adding new flags, agents often miss a requirement. The Antigravity agent bridges this gap by parsing terminal output in realtime. It monitors the console logs to autonomously identify requirements and insert the necessary inputs to keep the workflow moving.

Google Antigravity

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We built Artifacts so you don’t have to guess what the agent is doing. They are dynamic intermediates, the shared source of truth between you and the agent.
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Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

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Today we're excited to launch rubric scorers in Mastra The LLM-as-judge scores your agent's output as meeting (say) 7 of 11 criteria With failed checks getting fed back to the agent to re-run:
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We're launching the Google Antigravity SDK in preview. Built for developers and researchers who want total programmatic control to customize and deploy on their own terms, it gives you the exact same agent harness optimized for Gemini, with the ultimate flexibility to run it wherever and however you want. Learn how to get started with the Antigravity SDK: 👇
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Don't let AI write code blindly. In Antigravity, request an "Implementation Plan" artifact first. Review the architecture, edit the markdown logic, and then approve execution. Control the outcome, don't just hope for it.

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A Russian cargo ship sinks in the Mediterranean after an explosion in the engine room.
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We’ve built a new way to ship software: Agent Teams in Antigravity. Just run /teamwork-preview to spin up a dynamic team of specialized subagents. They coordinate in the background to plan, build, and verify complex engineering tasks in parallel.
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Google Antigravity

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Ready for an IDE that evolves with you? Google Antigravity offers: 🗣️ Feedback loops via Google-doc-style comments ⚡ Synchronous and asynchronous agent workflows 📈 Continuous iteration through artifact logging Try the public preview today →

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Better feedback = Better code. Artifacts are the agent’s proof of work. Review plans, screen recordings, and code changes. Then, leave feedback to keep the agent on track. Try it today:
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Better feedback = Better code. Artifacts are the agent’s proof of work. Review plans, screen recordings, and code changes. Then, leave feedback to keep the agent on track. Try it today:

Google Antigravity

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Google just showed the part of the agent stack most people are still underestimating. Not the model. Not the chat UI. The memory substrate around the agent. In this Antigravity segment, Google describes an agent-first environment built around: - agent conversations - agent-produced artifacts - multi-agent orchestration - subagents - hooks - asynchronous task management That is not a nicer IDE. It is what happens when software stops being a sequence of chats and starts becoming a persistent workforce. Karl's article explains why the winning agents will not just be the ones with the smartest rented model. They will be the ones that remember what they did, what they learned, what changed, and what can be trusted. Full breakdown below.

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