Building an AI agent that works on your local machine is the easy part. Building one that handles rate limits, scales beyond hardcoded data, and avoids "token burn" is where most developers struggle. In the first AI Agent Clinic episode, Luis Sala and Jacob Badish took a brittle sales research agent ("Titanium") and rebuilt it from the ground up. Here are 4 engineering lessons from the refactor: 🔹 Ditch the monolith: Use orchestrated sub-agents to handle specialized tasks. 🔹 Force structured outputs: Use Pydantic schemas to ensure your model's response doesn't break your code. 🔹 Dynamic RAG over hardcoding: Replace static context with a scalable Vector Search pipeline. 🔹 Observability is vital: Use OpenTelemetry to see exactly where an agentic loop is failing. Read the full breakdown and watch the episode here: https://goo.gle/4mJfSWt #AIAgents #SoftwareEngineering #GenerativeAI
Google for Developers
Technology, Information and Internet
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Join a community of creative developers and learn how to use the latest in technology—from AI and cloud, to mobile & web
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Discover the latest technologies, resources, events, and announcements to help you build smarter and ship faster. Explore more at developers.google.com
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http://developers.google.com
External link for Google for Developers
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- Technology, Information and Internet
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The countdown to Google Cloud Next ’26 is officially on! ☁️ Get ready for the biggest reveals in AI, infrastructure, and Workspace innovation. Don’t just watch the keynotes—experience them with the community. 🔥 Join the action: Watch live: Catch the Opening Keynote → https://lnkd.in/efyZwNK2 Watch the Developer Keynote → https://lnkd.in/euqRS7EW Discord: React in real-time and talk shop with the dev community → https://goo.gle/4tXl2Rs See you there!
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Google for Developers reposted this
Introducing one of our biggest updates to the Gemini Deep Research Agent, now available via the Interactions API! Trigger complex, long-horizon research workflows with arbitrary MCP support, get rich visualizations, plan before you execute, and more with these two configurations: 1️⃣ Deep Research (deep-research-preview-04-2026) 2️⃣ Deep Research Max (deep-research-max-preview-04-2026) Take a deeper look → https://goo.gle/4cqpaDz
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Google for Developers reposted this
Android Studio Panda 4 is now stable and ready for you to use in production! 🐼 → https://goo.gle/4cwypRi New features include: Planning Mode - this lets the agent step back, reason, and capture a plan that you can review before it writes a single line of code. Next Edit Prediction - this doesn't just suggest the next word, it anticipates the next logical edit in your workflow based on your recent code changes. Gemini API Starter Template - this template takes care of the boilerplate code and guides you through a seamless, built-in setup wizard that gets your app connected to Gemini in just a few clicks. Agent Web Search - Agent Web Search expands Gemini's reach, allowing it to query Google directly to fetch current reference material from across the web.
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Solve complex tasks faster by building with AI agents with GEAR. These tools interact with environments to help you work smarter and navigate technical workflows without the manual overhead. Learn more → https://goo.gle/486msQZ
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We’re making it easier to go from prototype to production. If you’re a Google AI Pro or Ultra subscriber, you now have automatic access to premium features directly in Google AI Studio. Start building with: 📈 Higher usage limits 🧠 Gemini 3.1 Pro 🍌 Nano Banana Pro Learn more: http://goo.gle/4tXluyQ
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Relive the #GoogleIO moments that gave builders more space to innovate. Join us for the next chapter → https://lnkd.in/g922Pj_n
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Stop debugging form events and start architecting form state 🛠️ → https://goo.gle/3Oo3grm In complex apps, we often get lost in "observable soup", tracing emissions just to find a validation bug. But as GDE Sonu Kapoor highlights, the secret to simpler forms isn't a better API; it's a better mental model. By treating forms as state systems rather than event pipelines, you can: Simplify logic: Treat validation as a pure, deterministic function of your data. Predictable UI: Use Angular Signals to derive errors and UI states automatically. Scale faster: Eliminate the "historical residue" of imperative event handling. Read the full deep dive into state-first architecture and how to clean up your front-end complexity.