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The secret to high-performing coding agents isn't just raw reasoning power—it's the 3 connected layers: 🔹 Model 🔹 Harness 🔹 Knowledge Watch "3 Layers of a High-Performing Agent Stack" with @SmithaKolan to learn more → goo.gle/4dzB7qs
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Dataform now integrates with Developer Connect for seamless Git connectivity. Securely access remote repositories in private networks without exposing them to the public internet. Here's the guide to connect a remote repository using Developer Connect → goo.gle/3VecNEn
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Everyone is talking about agent harnesses, but what exactly is one? Simply put: AI Agent=LLM+Agent Harness @lukeschlangen and @smithakolan break it down on the latest episode of The Agent Factory → goo.gle/4AvE5WN
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Google Cloud Tech retweeted
Run open models like Gemma 4 completely offline in the Antigravity SDK. Built on Google AI Edge’s LiteRT, you can now run Gemma 4 directly on your local GPU. Zero API costs, total data privacy, and no internet required.
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Claude Opus 5.5 is on Google Cloud! Built for everyday complex tasks, it handles long-running coding and knowledge work while reporting back clearly on what it did, what it found, and what it needs next at a lower cost per task. Try it in Model Garden → goo.gle/4cYFifi
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"I aspire to be an incredibly lazy prompter." —@_lopopolo Ryan joins The Agent Factory to make the case for not writing any code manually, and break down how harness engineering can help you get there → piped.video/F8EZJAm9iO8?si=DgOd…
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See how artist Leo Villareal used Gemini and Google Antigravity to supercharge his authoring software in the process of bringing his light sculpture to life. "Buckyball" is a celebration of the vibrancy of NYC and debuted this summer.
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Scaling an AI agent fleet? We provide full-stack agentic solutions, and now we're expanding our portfolio with Filestore agent volumes: fully managed, elastic file storage purpose-built to give agents isolated, economical, high-performance workspaces → goo.gle/4hfHal0
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Class is in session with @NVIDIAAI. Join @ivnardini and @katjasrz for a hands-on course that walks through the end-to-end journey of building, profiling, and scaling JAX models on NVIDIA GPUs—from initial setup to production serving → goo.gle/4y7EE7U
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