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.

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.

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

… 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...

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...

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:/...

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…