Experimental AI-powered cloud-based development environment introduces previews on mobile platforms and templates for Astro, Go, Node.js, and Python. Project IDX, Google’s experimental, AI-powered, cloud-based developer platform, has added Android and iOS simulators and templates for Go, Python, Node.js, and other languages and development frameworks, the company announced on January 25. An experimental initiative in limited preview, Project IDX is intended to bring an entire full-stack, multi-platform application development to the cloud. The latest additions bring an iOS simulator and Android emulators into the browser, enabling developers to see what their applications look like across multiple platforms without having to leave their workspace. The Android emulators allow full testing of the Android app from the IDX workspace, while the iOS simulator allows for “spot-checking” the app’s layout and behavior. The iOS simulation is still in an experimental phase. Project IDX intelligently loads the right preview environment for the application, Google said, including Safari mobile and Chrome browsers, Android, iOS, and Chrome for Flutter templates. Additional templates are offered for Astro, Go, Python/Flask, Node.js, and other languages and frameworks. More compatibility tools also have been added, allowing developers to run command-line tools directly in the browser and add Docker files to IDX workspaces. Providing AI-powered code generation, chat, code explanation, and code completion suggestions, Project IDX was launched in August. Project IDX begins with a web-based workspace for coding and leverages the scalability and security of Google Cloud, Google said. Project templates on IDX support developing apps using frameworks such as Angular, Flutter, Next.js, React, Svelte, and Vue. Related content analysis Beyond the usual suspects: 5 fresh data science tools to try today The mid-month report includes quick tips for easier Python installation, a new VS Code-like IDE just for Python and R users, and five newer data science tools you won't want to miss. By Serdar Yegulalp Jul 12, 2024 2 mins Python Programming Languages Software Development analysis Generative AI won’t fix cloud migration You’ve probably heard how generative AI will solve all cloud migration problems. It’s not that simple. Generative AI could actually make it harder and more costly. By David Linthicum Jul 12, 2024 5 mins Generative AI Artificial Intelligence Cloud Computing news HR professionals trust AI recommendations HireVue survey finds 73% of HR professionals trust AI to make candidate recommendations, while 75% of workers are opposed to AI making hiring decisions. By Paul Krill Jul 11, 2024 3 mins Technology Industry Careers how-to Safety off: Programming in Rust with `unsafe` What does it mean to write unsafe code in Rust, and what can you do (and not do) with the 'unsafe' keyword? The facts may surprise you. By Serdar Yegulalp Jul 11, 2024 8 mins Rust Programming Languages Software Development Resources Videos