Google for Developers
@googledevs
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Discover the latest developer tools, resources, events, and announcements to help you build smarter, ship faster. 🚀
Joined June 2009
✨Announcing LangExtract! ✨. Our new open-source Python library for information extraction, powered by #Gemini. ✅ Turn text into structured data .✅ Trace every insight to its source .✅ Visualize results instantly. Explore the blog by @AkshayGoelMD and Atilla:
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Meet Gemini CLI GitHub Actions, now in beta ✨. Your no-cost AI coding teammate to help automate tasks, review code, and ship faster →
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Write tests 📝 . Tests protect your code from mysterious breakages and give you confidence to refactor.
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Comments = why, not what ✅. Good code explains itself. Comments should explain intent.
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Use clear, descriptive names ✨. No more foo or x — future you will thank you.
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Want to write better code? Here are 3 habits worth adopting 🧵 ↓
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AI’s leap in language understanding is transforming how we build and interact with technology. Ready to see how it works? 🤖 Dive into the future of machine learning →
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Enhance your productivity when building Android apps with @AndroidStudio. Accelerate your Android development with Gemini, now integrated into this IDE →
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RT @GooglePayDevs: Did you catch all the updates we announced to Google Wallet this year? First off . 🌐 Google Wallet is launching in 50….
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Kicking it off! ⚡️ For front-end web dev, React.js is a game-changer. 💻 Reusable components mean less manual DOM work, making complex UIs a breeze. ✨.
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The best code is the code you don't have to write. What's your favorite library or framework? 📚.
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Build, experiment, and scale your apps with the help of Google AI and Google Cloud credits from the #GoogleDeveloperProgram. ✨ GDE @sathishvj shares how this program has streamlined his development process →
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Unleash your inner artist! 🎨 See how GDE Nitin Tiwari uses the Veo 3 model to transform simple doodles into incredible animated videos. The only limit is your imagination. Tap to see the magic ✨→
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The Gemini 2.5 family of thinking models is designed to give developers more power and more choices to build with AI. Which is the right model for your build? . Learn more →
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Consider representing the dependencies as a directed acyclic graph (DAG). The critical path in this graph will determine the minimum possible deployment time. Look for opportunities to deploy services in parallel whenever their dependencies have been satisfied. Remember that each.
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Can you solve this microservices deployment optimization challenge?
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How to create an AI coaching assistant:.📱 Sync Google Pixels with @Firebase.☁️ Analyze shots using Gemini + Vertex AI.🎬 Generate cinematic clips with Veo
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Have you heard? 😮 We’ve partnered with @NVIDIAAIDev to create a dedicated developer community where you can discuss building, optimizing, and deploying AI workloads. Join this community through the #GoogleDeveloperProgram →
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💡 We believe the best ideas come from the community. That's why we’re celebrating our contributors by sharing a collection of their most valuable insights from all around the world ⬇. ⭐ Missed the fun at #GoogleIO? Catch the highlights with @jeffwhelpley and GDE Chris Esplin
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