We're hiring research scientists at Stitch. Stitch is building the most talent-dense research team. If you've built your own agent harness for fun or have run tens to hundreds of agents in parallel to solve coding tasks, you will feel right at home here. We're working at the bleeding edge of agent harnesses, generative media and creativity. Apply here: google.com/about/careers/app…

We have a Stitch MCP. We have a Stitch SDK. But, we don't have a Stitch CLI. Well, not until now. Introducing the @google/stitch CLI: 🔷 Connect to your local coding agents 🔷 Generate screens and design systems 🔷 Send a local dev server snapshot to Stitch Do it all without leaving the terminal or better yet, ask your favorite harness like @antigravity 😎 Learn more 👇

Today we’re introducing Gemini 4 Argon. It delivers frontier performance in complex workflows across real-world software engineering, knowledge work, and cybersecurity defense with an industry-leading 1M token output limit.

We’ve selected the top winners of the Google Stitch Challenge (coming soon 👀). Next week, we’re going to break down the leading techniques and patterns to help you #BuildWithStitch. Drop a 🧵 if you participated, and show others what you built! 👇 #StitchChallenge

The Stitch Challenge is coming! $10K in total prizes. May 27th. Fueled by the good folks @contra

Big day for Stitch, we're streaming first for faster feedback and > 100M design generated!

Team has been cooking for IO, can't wait to share what we've been up to.

Understandable on a technical level. As a business decision, you would want your model API to support any type of coding harness.

We would love feedback from the community on DESIGN md!

Proud investor, congrats Nicolas! 🙌

Much love for your work, Steve. On behalf of @Google, this post doesn't match the state of agentic coding at our company. Over 40K SWEs use agentic coding weekly here. Googlers have access to our own versions of @antigravity, @geminicli, custom models, skills, CLIs and MCPs for our daily work. Orchestrators, agent loops, virtual SWE teams and many other systems are actively available to folks. We'll be writing more about our stacks this year. For personal projects, many engineers actively try the same models and tools the community does - much love to Claude Code, Open Code, Conductor and others - which helps us also learn about opportunities to improve (folks can even use @AnthropicAI's models on Vertex). Many, many of us are here on @X and build our own tools in addition to make sure we're staying sharp. With so many friends working at other frontier labs and start-ups to give ourselves a baseline, Google is anything but average.

DESIGN. md concept introduced by @stitchbygoogle . Our repo awesome-design-md brought it to the community, 35K+ stars in one week, hundreds of organic shares. Now it has a website: getdesign.md/ Browse design systems as DESIGN. md inspired by real websites. Preview instantly. Install with one command. One markdown file tells your AI agent exactly how to build matching UI.

100% design systems are just markdown now

One of the biggest lessons thus far in building AI agents is you have to be brutally unsentimental in your architecture. The models get better and better at handling things you previously built scaffolding for, you need to ruthlessly jettison your prior tech to get those new performance gains. The rough loop of building AI agents looks something like: 1. Build a bunch of systems around the LLM to ensure that the agent can solve specific tasks very well 2. The model capabilities dramatically improve, rendering many of those systems redundant or even harmful 3. Remove prior scaffolding to get the new performance gains from the agent 4. New capabilities emerge in the models that let you solve a new set of much harder problems 5. Go back to step 1 For instance, in our new Box Agent, from the moment we designed the original architecture to the ultimate release, we had to evolve multiple components of agent harness simply because some parts were creating unnecessary constraints for the agents as models improved. The models continued to get insanely good at more complex reasoning, improvements in using search and other tools, writing code on the fly for new capabilities, improving context window performance for accuracy, and more. Many of the mitigations we put in place for the Box Agent (like to appropriately find data that users were looking for, or ways of chunking text to deal with context window limitations), eventually meat we got lower quality results or meant we were overfitting for specific use-cases, as soon as the models got better. The main lesson is always make sure you’re taking advantage of the frontier capabilities and don’t become nostalgic around the tech you’ve already built.

Awesome to see the community adopting DESIGN . md.

We are completely humbled by the amazing response to our launch last week! 🫶 Now, we want to help you get the absolute best results from Stitch. In this new video, David East walks you through how to consistently get premium results. We also launched a new prompt enhancer (located under ‘+’ menu) to help you quickly collaborate on your vision before you submit your first prompt. Stitch doesn't replace the design process—it is a tool for fast exploration and refinement, which is most effective when you step into the role of Creative Director. Here are David's top strategies for taking your designs from generic to amazing: 🧠 Start with Intent: Define exactly who the design is for and how you want them to feel before you start building. 🎨 Enhance your prompt: You can use the new prompt enhancer (under the ‘+’ button’) to teach you design language and swap abstract words like "sporty" for tangible aesthetic descriptions like "high-end stationery" or "architectural limestone". 📐 Master Color Hierarchy: Treat colors as visual weight—Neutral for the canvas, Primary for ink, and Tertiary for your loudest accents. Watch the full breakdown and see the transformation here👇images in 🧵

The more I code with AI, the more I appreciate a well designed API with clear boundaries and tight naming.

Created this using @stitchbygoogle + @higgsfield 🔥 in just 15 minutes. . #UIDesign #WebDesign #AI #GenerativeAI #DesignTools