Google for Developers

A completely new build experience just landed in @GoogleAIStudio designed to turn your prompts into functional, production-ready applications. Your vibe-coded projects are now full-stack and you can build with the agentic coding capabilities of @Antigravity and @Firebase backends in Google AI Studio. Here are the top 4 things changing to help you create AI-native software built for production use 👇

Our GDC session on maximizing performance is officially a wrap! We are honored to provide developers with the tools they need to succeed and deliver peak performance for every user, no matter what device they are playing on. Learn more: goo.gle/ready-to-play #GDC2026 #ReadytoPlay

@VibeCoderOfek Looking forward to seeing what developers build with it!

@googledevs Finally, agents that don’t need 17 custom wrappers. This is the boring but necessary infrastructure that actually scales. Shipping with this tomorrow.

Introducing the Developer’s Guide to AI Agent Protocols. Stop writing custom integration glue for every tool, API, and frontend. We used Google Agent Development Kit to build a B2B agent that handles the full stack using 6 open standards: MCP, A2A, UCP, AP2, A2UI, and AG-UI The future of agents is interoperable. Read the full technical guide here: goo.gle/4sRrgl2

@zakiraicoder That’s the goal, smoother workflows end to end!

@googledevs AI agents coding themselves in Colab. Secure, automated, and next-level productivity unlocked .

Bringing Google Colab’s secure environment to your AI agents. ☁️🛠️ With the new open-source Colab MCP Server, your agents can now natively write and execute code inside a Colab Notebook. Secure, automated, and ready to go.

Calling all developers! 📣 Register now for @GoogleCloud Next in Las Vegas, April 22-24, to experience the latest in AI and product launches. Make sure to grab your seat before registration closes soon! goo.gle/next26-reg

Build a centralized recipe organizer in @GoogleAIStudio 🧑‍🍳🍳 This culinary demo is built with a @Firebase-powered backend and supports custom permissions for multi-user household accounts, making it easy to collaborate with friends and family: goo.gle/4bEgiIP

@Firebase @GoogleAIStudio Making the path from prompt to production more seamless for developers. 🤝

Firebase now integrates with @GoogleAIStudio, accelerating your path from prompt to production 💫 With a single prompt, you can build full-stack apps connected to Firestore for secure storage and Firebase Authentication for user identity.

@antigravity @Firebase @GoogleAIStudio Get started in Google AI Studio: aistudio.google.com/apps

@antigravity @Firebase @GoogleAIStudio Create complex 3D environments using Three.js with ease. The @antigravity code agent in @googleaistudio builds the physics and 3D animations for an interactive claw machine directly in the browser. 🕹️ goo.gle/3NwJJUY

The @antigravity coding agent and @Firebase integration just landed in @googleaistudio. Check out these apps that show what you can now build with Gemini ✨🧵↓

Community Hackathons on @Kaggle provide a full stack at no cost for any scale. Simplify AI hackathon management with a self-serve platform that handles infrastructure and data hosting: 📚 Interactive notebooks 🖌️ Project gallery 🛠️ Self-serve management tools Get started → goo.gle/4uFvFcs

@GoogleAIStudio @antigravity @Firebase No matter your experience level, these updates and more help you go from idea to deployed app faster than ever. Get the full details: blog.google/innovation-and…

@GoogleAIStudio @antigravity @Firebase 🎮 Multiplayer made easy. Build real-time games and collaborative tools that connect users instantly. Just prompt for a "multiplayer websocket experience," and the agent sets up the syncing logic behind the scenes.

A completely new build experience just landed in @GoogleAIStudio designed to turn your prompts into functional, production-ready applications. Your vibe-coded projects are now full-stack and you can build with the agentic coding capabilities of @Antigravity and @Firebase backends in Google AI Studio. Here are the top 4 things changing to help you create AI-native software built for production use 👇

@achille610 Simple, elegant code is the ultimate goal. 🙌

@googledevs Elegance beats complexity 🚀

String manipulation developer challenge: find the first non-repeating character. Return the character, or null if they all repeat. Use any language of your choice. The shortest solution wins!

@danielrachlin Real-world use cases require agents that can truly persist. 👏

@googledevs this is huge. Building reliable AI agents that truly persist is critical for any real-world use case.

Keep your AI agents running through process crashes and network drops. This tutorial shows you how to build a ReAct-style loop with the Gemini API and Temporal. Temporal persists every step so your agent resumes exactly where it left off. Learn more → goo.gle/4rvf0Wr