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> Gemini 2.5 Pro is incredible at coding, so we’re excited to bring it to Google AI Studio’s native code editor. It’s tightly optimized with our Gen AI SDK so it’s easier to generate apps with a simple text, image, or video prompt. The new Build tab is now your gateway to quickly build and deploy AI-powered web apps. We’ve also launched new showcase examples to experiment with new models and more. This is exactly wha…
> Gemini 2.5 Pro is incredible at coding, so we’re excited to bring it to Google AI Studio’s native code editor. It’s tightly optimized with our Gen AI SDK so it’s easier to generate apps with a simple text, image, or video prompt. The new Build tab is now your gateway to quickly build and deploy AI-powered web apps. We’ve also launched new showcase examples to experiment with new models and more. This is exactly wha…
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I regularly put 50k LoC codebases in gemini, it has a 1M context window and actually uses it well.
Let me know when it handles 1.5M lines.
Presumably Google AI Studio[1] and Google Firebase Studio[2] are made by different teams with very similar pitches, and Google is perfectly happy to have both of them exist, until it isn't: - AI Studio: "the fastest place to start building with the Gemini API" - Firebase Studio: "Prototype, build, deploy, and run full-stack, AI apps quickly" [1] https://aistudio.google.com/apps [2] https://firebase.google.com/
AI Studio: Mostly a playground for building mini-apps that integrate with the Gemini APIs. A big sell seems to be that you don't need an API key, instead you just build your app for testing, and the access is injected somehow. The UI is more stripped down than an IDE and I assume you'd only use it to prototype basic things. I don't know why there are "deployment" options in the UI, frankly.
Firebase Studio: Mostly a sales funnel for firebase I assume, but this is a "tradition" prototyping/development tool that uses AI to make a product. It supports front end and backend code. This also has a chat bot, but it's more of a web-IDE than a chat-first interface.
Gemini Canvas: This is gemini-the-chatbot writing mini-web-apps in a side-panel. The use case seems to be visualization and super basic prototyping. I've used it to make super simple bespoke tools like a visualizer for structured JSON objects for debugging, or an API tester. The HTML is served statically from a google domain, and you can "remix" versions created by others with your own prompts.
Jules - Experimental tool that writes code in existing codebases by handling full "tickets" or tasks in one go. Never used it, so i don't know the interface. I think it's similar to Codex though.
Gemini Code Assist - their version of a copilot. I think its also integrated or cross-branded with
Vertex AI API, Gemini API - these are just APIs for models.
They don't mention it in the demo but they should really take a page from Lovable and add a bidirectional sync to a git repository.
Get outta here! You can do that in AI Studio now? If so, I need to run, not walk, to the nearest computer. Too bad I am sitting on the toilet right now..
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I agree. Until about 2005 it was code-on-device and run-on-device. The tools and languages were limited in absolute capabilities, but easy to understand and use. For about the past 20 years we've been in a total mess of code-on-device -> (nightmare of deployment complexity) -> run-on-cloud. We are finally entering the code-on-cloud and run-on-cloud stage. I'm hoping this will allow domain experts to more easily creat…
>We are finally entering the code-on-cloud and run-on-cloud stage. Sounds like an absolute nightmare for freedom and autonomy.
Cloud is only the rebranding of timesharing, clear with different technology stacks, however the approach to development is exactly the same as working on an UNIX shop back in 1975 - 1990's.