Today, Stitch by Google from Google Labs is evolving into an AI design canvas that turns prompts into production-ready front-end code 🧵

Introducing “vibe design” with Stitch Stitch is evolving into an AI-native platform that allows anyone to create, iterate, and collaborate on high-fidelity UI.

Meet the new Stitch, your vibe design partner.

Here are 5 major upgrades to help you create, iterate and collaborate:
🎨 AI-Native Canvas
🧠 Smarter Design Agent
🎙️ Voice
⚡️ Instant Prototypes
📐 Design Systems and DESIGN.md

blog.google/innovation-a...

After iterating... you end up with a new app at your finger prints. What a time to be alive ;)

Step 3: Coded by Jules

Finally, it’s time to build. I setup a repo that contains my spec as a README, and the screens that I want to build which have been downloaded from Stitch.

Stitch - Design with AI Stitch generates UIs for mobile and web applications, making design ideation fast and easy.

Step 2: Designed by Stitch

I use the spec to explore the design of the app. Here is the Stitch project:

stitch.withgoogle.com/projects/272...

Step 1: Starting with the Spec

Captures what you are looking to build: it’s design and implementation. Sometimes I work with an AI to go deep on the definition up front, and other times I stay shallower and flush out the spec as I add more features.

Stitching with the new Jules API The Jules team finished off another ship week with the release of an initial version of their API, allowing you to integrate with your friendly asynchronous squid engineer. I have been interested i…

blog.almaer.com/stitching-wi...

★ Stitching with the new Jules API

The Jules team finished off another ship week with an initial version of their API, allowing you to integrate with your friendly asynchronous squid engineer.

In this post I show how I use Stitch to design a native app that uses the new API...

Not a bad start to a Sunday… with the footy on TV and using Jules to build an iOS app that uses it’s new API… designed by Stitch.

stitch.withgoogle.com/projects/272...

Pools of Extraction: How I Hack on Software Projects with LLMs I’ve started to notice some patterns in how I work on software projects. Specs as mini-pools I often sit down and just write a spec. Even if I never build it, the spec itself is a kind of temporary…

… Along with mini specs that contain relevant context, I am able to use a variety of models to get higher quality results.

This short post shares some details.

blog.almaer.com/pools-of-ext...

★ Pools of Extraction

I’ve started to notice some patterns in how I work on software projects. I create throwaway projects to learn from, and large repos with a bunch of ideas in. I sometimes extract targeted repos from them…

Stitch - Design with AI Stitch generates UIs for mobile and web applications, making design ideation fast and easy.

And then we have the ability to share public projects.

Being able to share your work to communicate and iterate is key... and we have more coming here too.

I would love to see any projects that you are game to share. Here is one of mine...

stitch.withgoogle.com/projects/180...

Stitch Design Variants: A Picture Really Is Worth a Thousand Words? My head has been in the world of code generation for the last few years. Now that I’m also thinking about design generation, I’m seeing a lot of similarities but also some fascinating d…

✨Stitch Design Variants: A Picture Really Is Worth a Thousand Words?

We have some great Stitch updates for you today, & I posted about a couple.

At first I talk about design variants and how to use the fact that your brain can grok a lot of images very quickly...

blog.almaer.com/stitch-desig...

Excited for you mate. Good peeps joining good peeps!

It has been incredibly fun to see @aerotwist.com, Dimitri, and the team bring this to life.

All of the power of the large variety of models, and you can just spec and ask for what you want. Delightful.

... for example, I often want to take an image and bring it to live with one of the new Google video models, so I ask for that and get a Breadboard flow that results in a running app:

opal.withgoogle.com?flow=drive:/...

Introducing Opal: describe, create, and share your AI mini-apps- Google Developers Blog Discover Opal, a new experimental tool from Google Labs, that helps you compose prompts into dynamic, multi-step mini-apps using natural language.

I’m super excited about Opal, a new experiment from Google Labs.

It has changed my habits. Instead of asking for something in an AI chat app, for some tasks I create a micro app on the fly…

developers.googleblog.com/en/introduci...

OH “We got too many Product Managers who were good at competitive analysis but not deeply technical, so we ended up with fear based copy cat roadmaps.”

“Without the appropriate error handling, the null pointer caused the binary to crash.”

status.cloud.google.com/incidents/ow...

Cue the Rust crowd…

"no matter who you are, most of the smartest people work for someone else" — Bill Joy

We have used open source as a way to leverage this, and now we are using LLMs with massive sets of knowledge as a form of leverage.

en.wikipedia.org/wiki/Joy%27s...

Give your coding agent browser superpowers with DevTools access via MCP Give your coding agent direct access to Chrome DevTools Protocol through MCP, enabling it to inspect, interact with, and debug web applications at runtime.

I use playwright-mcp to drive the browser, but why not go directly to CDP to get full access to networking and performance as well as DOM etc?

Stefan Li wired this up with devtools/mcp! Love it!

autoconfig.io/devtools-mcp...

JVM devs, this one’s for you: Rod Johnson (Spring) just dropped an OSS agent framework.

JVM-native, Kotlin-based, and focused on agentic flows mixing LLM-prompted interactions with code and domain models.

#Java #Kotlin #AINativeDev #News #OSS

Which group will be the AI and which the humans?

One of the most interesting announcements at I/O got just a few seconds of airtime: Gemini Diffusion.

A diffusion-based language model that:
• Generates in parallel, not left-to-right
• Hits ~1500 tokens/sec
• Can self-correct mid-generation

Read all about it here: https://www.ainativedev.co/99j

If there are gaps that you want to fill in, this could have better results. It also allows for more parallelism, and doesn’t fall into the trap of being stuck on a path due to the words already generated.

I’m keen to see how this works for codegen!!

And today we see the zag. We have another tool in the toolbox, diffusion models for text. This isn’t new, and has been talked about for some time. Unlike next token, diffusion by its nature is a good fit for generating text in a non-sequential manner…

Gemini Diffusion!

I love a good zig and zag. We used to be in a world where image generation used diffusion techniques (from noise), and text used autoregresion (next token). ChatGPT added 4o image generation that went the other way and used autoregression …

Jules - An Asynchronous Coding Agent Jules is an asynchronous agent that gets out of your way. It lets you focus on the coding you want to do, meawnwhile picking up all the other random tasks that you rather not do.

I love the style of Jules. Refreshingly non-Googley?

jules.google

en.wikipedia.org/wiki/OpenAI_...

Or wait no, it’s a CLI, oh wait no it’s a remote agent platform… and a new model family…

AI tools multiply, and so do config files.
“This has all given birth to a plethora of rules files that we need to manage.”
Vibe-rules CLI discovers and syncs them so you can code not babysit .yaml.
Details ➜ www.ainativedev.co/nbp

#AINativeDev #DevTools #AIDevelopment #CLI