Amazing launch day for Gemini 3 and more. Check out more about that, and other interesting happenings.
[blog] A new era of intelligence with Gemini 3. Super overview of the monster set of announcements today.
[blog] Start building with Gemini 3. Text and media are important parts of any modern LLM, but coding is what most folks were watching from us. Logan explains how we’ve stepped up our game for builders.
[blog] Introducing Google Antigravity, a New Era in AI-Assisted Software Development. Speaking of that, this is the most important release of the day (to me). It’s an entirely new way to build modern software.
[blog] Bringing Gemini 3 to Enterprise. We’re good at ensuring that new models are available simultaneously in the places that matter most.
[blog] Gemini 3 brings upgraded smarts and new capabilities to the Gemini app. These are some legit upgrades to the experience, and once again open the door to new use cases.
[blog] 5 things to try with Gemini 3 Pro in Gemini CLI. Fantastic list of new things to try. That fifth use cases is eye opening.
[blog] What Technical Debt Means To IT Professionals. How do you define tech debt? Most realize that it goes far beyond old code. This post digs deeper and offers some ways to escape.
[blog] Only three kinds of AI products actually work. Early days. We’ll go from “doesn’t work” to “works” fairly quickly.
[blog] Rich and dynamic user interfaces with Flutter and generative UI. Use a library that’s connected to what we’re doing with the Gemini app interface.
[blog] How to build your own resume reviewer with Google AI Studio in minutes. There are few things that can one-shot an application better than Google AI Studio.
[blog] Chamber 🏰 of Tech Secrets #55: Issue-Driven Development. When you’re hands-on with these tools (versus simply observing) you tend to develop pragmatic practices. I like how Brian is thinking about directing his agentic workflows.
[blog] On Cursor, Erich Gamma, VS Code forks and the surprising role of the Eclipse Foundation. Open extension ecosystems (outside of VS Code) will play a big part in the upcoming years. While lots of tools depend on VS Code forks, you don’t want to be dependent on Microsoft’s control of an ecosystem.
[blog] Local code meets cloud compute: Using Google Colab in VS Code. This is low-key a big deal. Millions of people use Colab regularly, and this gives them an additional surface to work in.
[article] Go team to improve support for AI assistants. Go is already an excellent choice if you want to generate quality code with AI. Or build agents. We’re going to keep investing there.
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