News from the AI & ML world
DeeperML
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Google has announced Firebase Studio, a new end-to-end platform designed to build custom applications directly within a web browser. The announcement was made at the annual Google Cloud Next conference, highlighting Google's focus on AI and its integration into development tools. Firebase Studio empowers both developers and non-developers to create, launch, iterate, and monitor applications, APIs, backends, and frontends, leveraging the power of Gemini AI. This platform is now available for preview, requiring users to have a Google account to access it.
Firebase Studio combines several of Google’s existing tools like Genkit and Project IDX with AI agents and Gemini assistance to streamline the app development process. The platform is built on the Code OSS project, providing a familiar interface for many developers. Users can import code from repositories such as GitHub, GitLab, and Bitbucket, or start from scratch. It supports multiple languages, including Java, .NET, Node.js, Go, and Python, as well as frameworks like Next.js, React, Angular, and Flutter. Firebase Studio also offers over 60 pre-built templates, or users can create app prototypes using natural language descriptions, screenshots, or mockups.
The platform simplifies coding workflows by allowing developers to deploy applications directly to Firebase App Hosting, Cloud Run, or custom infrastructure. Firebase Studio features built-in runtime services and tools for emulation, testing, refactoring, debugging, and code documentation, enhancing the overall development experience. Gemini AI assists in writing code and documentation, fixing bugs, and managing dependencies. Google aims to make app development more accessible and efficient with this new offering, promising faster prototyping and easier deployment.
ImgSrc: www.infoworld.c
References :
Firebase Studio combines several of Google’s existing tools like Genkit and Project IDX with AI agents and Gemini assistance to streamline the app development process. The platform is built on the Code OSS project, providing a familiar interface for many developers. Users can import code from repositories such as GitHub, GitLab, and Bitbucket, or start from scratch. It supports multiple languages, including Java, .NET, Node.js, Go, and Python, as well as frameworks like Next.js, React, Angular, and Flutter. Firebase Studio also offers over 60 pre-built templates, or users can create app prototypes using natural language descriptions, screenshots, or mockups.
The platform simplifies coding workflows by allowing developers to deploy applications directly to Firebase App Hosting, Cloud Run, or custom infrastructure. Firebase Studio features built-in runtime services and tools for emulation, testing, refactoring, debugging, and code documentation, enhancing the overall development experience. Gemini AI assists in writing code and documentation, fixing bugs, and managing dependencies. Google aims to make app development more accessible and efficient with this new offering, promising faster prototyping and easier deployment.
ImgSrc: www.infoworld.c
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References :
- AI News | VentureBeat: Google introduces Firebase Studio, an end-to-end platform that builds custom apps in-browser, in minutes
- The Register - Software: Apps-from-prompts Firebase Studio is a great example – of why AI can't replace devs
- www.infoworld.com: Google is previewing Firebase Studio, a cloud-based agentic development environment designed to build, test, deploy, and run AI applications. Introduced
- Maginative: Google has launched Firebase Studio, a browser-based, AI-powered development platform that lets developers build, test, and deploy full-stack applications with help from Gemini and deep Firebase integration.
- the-decoder.com: Google introduces AI-powered Firebase Studio for simplified app development
Classification:
- HashTags: #FirebaseStudio #AppDevelopment #LowCode
- Company: Google
- Target: Developers, Non-developers
- Product: Firebase Studio
- Feature: App development platform
- Type: AI
- Severity: Informative