Gemini 3.1 Pro is here. Hitting 77.1% on ARC-AGI-2, it’s a step forward in core reasoning (more than 2x 3 Pro). With a more capable baseline, it’s great for super complex tasks like visualizing difficult concepts, synthesizing data into a single view, or bringing creative projects to life. We’re shipping 3.1 Pro across our consumer and developer products to bring this underlying leap in intelligence to your everyday applications right away. Rolling out now to: - Developers in preview via the Gemini API in @GoogleAIStudio - Enterprises in Vertex AI and Gemini Enterprise - Everyone through the @Geminiapp and @NotebookLM

Exciting results in AI math research! We use Aletheia agent, powered by Gemini 3 Deep Think, to tackle the FirstProof challenge. Operating completely autonomously, Aletheia successfully solved 6 out of the 10 problems. Check out the full paper for details on the methodology and expert evaluations. https://t.co/jGebqX543b

Nano Banana 2, new state of the art in image generation and editing combined with Gemini’s real-world knowledge! You can simulate 3D CAD models purely through images. From sketch to real object! https://t.co/rQoMNrica5

Everyone’s talking about Ralph Wiggum in the AI world but most people still don’t get why it matters. Autonomous loops in Claude Code are quietly changing how devs build. We broke it down step-by-step 👇 🧠 What Ralph Wiggum actually does 🔁 How autonomous loops work ⚙️ How to use it hands-off in real projects A good read if you’re building with AI, not just prompting it. Link Below!

We sat down with Kaleen Canevari - a multi-time founder and mechanical engineer - to talk about how she’s using AI coding tools to build a new platform for the Pilates world 🧘‍♀️ Kaleen’s journey is a perfect example of modern product building: •Started with early experiments using @claudeai + Xcode •Shipped quickly with @Lovable •Now building in @cursor_ai + @supabase •Uses @braingridai as a technical co-founder to plan features, break them down, and implement reliably as the product scales What we talk about: •How vibe coding helped her build without getting stuck in syntax •Her workflow for validating ideas before writing production code •Why BrainGrid helps turn product intent into clean execution •What she’s building: a hybrid digital platform for Pilates studios •The bigger vision: better Pilates language + data for personalization and measurable outcomes •The next big pain point: troubleshooting across infra and dashboards, not just code If you’re building with AI tools and want to ship faster without breaking your app, this one’s for you.

we shipped a new feature to an app and nothing broke 😳 here’s what we changed: – planned it first w/ @braingridai – generated real requirements – scoped tasks for @cursor_ai you NEED a planning layer. demo 👇 https://t.co/sz4nvRzRn6

claude: "context low (7% remaining)" https://t.co/fjFdkAoWMx

fun little feature for a Friday https://t.co/i23G6Lo3nW

this week's newsletter just dropped & we're trying out a new format 👀 wdyt? - your work tools are now in @claudeai chat - @OpenAI launches Prism - LinkedIn let's you show off your vibecoding skills - How to fix the #1 problem with AI coding using @braingridai and more... https://t.co/n6x4eX1r5w

Every product has a story before it has traction. In this Builder Story, Matt Bernier & Clay talk about what it actually took to build https://t.co/wor1wiOPYa - the decisions, the trade-offs, and the parts you don’t see in launch tweets. ⬇️ Watch the full conversation on YouTube

These Marketing Claude Code Skills are just excellent https://t.co/QqeIzvAyGN

An overview of the new Product Planing Agent we are building at BrainGrid https://t.co/f9tZogjkMi

@garrytan Checkout what we’re building at https://t.co/wCUGHijxku

Something interesting happens when you use your own tool to build itself. You find out very quickly what works and what doesn't. The feedback loop is immediate. If a feature feels clunky or a workflow doesn't make sense, you feel it in real time because you're living in it. We've been building BrainGrid with BrainGrid. Every feature starts as a spec. Every spec gets broken into tasks. Every task goes to Claude Code with full context. The result is that features ship faster and break less. Not because the AI is magic, but because we're feeding it clear requirements instead of vague intentions. Tyler Wells walks through the full process in this piece: how we go from half-baked idea to deployed code in under an hour using spec-driven development. If you've been wondering what the practical difference is between "just prompting" and actually planning before you build, this is worth the 15 minutes.

Doug had a startup idea on a Friday. By Sunday, he had a working MVP. Not because he's a fast coder. Because he didn't start by coding. He fed his idea into BrainGrid first, got a full spec back, then handed it to Claude Code. The result was an immigration concierge app with multi-country support, billing, and an admin panel baked in from the start rather than bolted on later. That's the part most weekend builds get wrong. They build for the demo. BrainGrid helped him build for what comes after the demo. 11 minutes, worth every one of them. Link Below!

helluva show https://t.co/9uY6Y9oz9A

@kvickart https://t.co/uuPLVVWAjK

dad... https://t.co/4oxp6XDovy

https://t.co/UdWjGwS1ik

@Jacobtheape https://t.co/OHd8CytNSv

BIG BIG SPACE - Episode 3 https://t.co/GViAASAHsY

A story of a boy and his dream. He didn't give up, and neither did this idea. We had a blast bringing this to life @LumaLabsAI ! https://t.co/1hAg1ZBXeo https://t.co/MBuYFDnkUX

https://t.co/6SXwtGn1HU

MELON!!!!!!!!!! https://t.co/wAPdg9FaBd