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Google's AI tools for developers and enterprise, and when to actually reach for each

Sireesha Pulipati 2026年08月04日 05:51 12 次阅读 来源:Dev.to

Beyond the consumer surfaces most people know, the Gemini app and Gemini Notebook (formerly NotebookLM), Google offers a whole set of AI tools and interfaces built for developers and enterprise teams. At first glance, it's a lot to wrap your head around. AI Studio, Gemini Enterprise Agent Platform, the Gemini Enterprise app, Antigravity in its various forms. The names overlap, the marketing language overlaps, and it's not obvious where one tool's job ends and another's begins. AI Studio is for prototyping and building web and Android apps AI Studio is where you test a prompt, try a multimodal input, or compare models before committing to anything. It also builds full applications straight from a prompt, complete with backend infrastructure. When your app needs to store data or handle sign-ins, AI Studio provisions a database and authentication for you, either Cloud Firestore or Cloud SQL for a relational setup, and Firebase Authentication, without you configuring any of that by hand. It also connects to Google Workspace APIs, so an app you build there can work with a user's real Gmail, Docs, Sheets, or Calendar data. It supports mobile app development as well, for native Android apps. Use AI Studio when you want to validate an idea or ship a lightweight web or Android app fast, with real backend support, and without provisioning any Google Cloud infrastructure yourself. Gemini Enterprise Agent Platform is where agents actually get built This is the next generation of Vertex AI. Google folded Vertex AI's entire service catalog, model access, custom training, evaluation, pipelines, all of it, into what's now called the Agent Platform. If you go looking for Vertex AI in the console today, it redirects you here. This is the one-stop shop for the full agent development lifecycle. You build with Agent Studio, the low-code visual builder, or the Agent Development Kit for code-first development in Python, Go, Java, or TypeScript. Agent Engine handles the managed runtime, Mo

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