This is exactly what I see coming, between the marketing and reality of what the tool is actually able to deliver, eventually we will reach the next stage of compiler evolution, directly from AI tools into applications.

We are living through a development jump like when Assembly developers got to witness the adoption of FORTRAN.

Language flamewars are going to be a thing of the past, replaced by model wars.

It migth take a few cycles, it will come nonetheless.

Analyzing TypeScript Errors

I'm currently focused on the actions/user.ts file, where I've identified a few issues. Specifically, I need to address a "Cannot find name" error related to UpdateUserDetailsFormState, and confirm that the intended target is UpdateUserDetailsFormInput. There might be some other discrepancies in the file that I need to resolve.

Debugging the Import

I've been trying to pinpoint the Cannot find name 'UpdateUserDetailsFormState' error. The type is definitely defined and imported, but it's not being recognized in the updateUserDetails function's arguments. I'm suspecting a scoping issue with the import statement within actions/user.ts. I also need to verify that UpdateUserDetailsFormState is correctly defined with the fieldValues property as optional as per the schema.

As an experiment I just asked it to "recreate the early RPG game Pedit5 (https://en.wikipedia.org/wiki/Pedit5), but make it better, with a 1970s terminal aesthetic and use Imagen to dynamically generate relevant game artwork" and it did in fact make a playable, rogue-type RPG, but it has been stuck on "loading art" for the past minute as I try to do battle with a giant bat.

This kind of thing is going to be interesting for teaching. It will be a whole new category of assignment - "design a playable, interactive simulation of the 17th century spice trade, and explain your design choices in detail. Cite 6 relevant secondary sources" and that sort of thing. Ethan Mollick has been doing these types of experiments with LLMs for some time now and I think it's an underrated aspect of what they can be used for. I.e., no one is going to want to actually pay for or play a production version of my Gemini-made copy of Pedit5, but it opens up a new modality for student assignments, prototyping, and learning.

Doesn't do anything for the problem of AI-assisted cheating, which is still kind of a disaster for educators, but the possibilities for genuinely new types of assignments are at least now starting to come into focus.

- AI Studio: "the fastest place to start building with the Gemini API"

- Firebase Studio: "Prototype, build, deploy, and run full-stack, AI apps quickly"

[1] https://aistudio.google.com/apps

[2] https://firebase.google.com/

"Te harsh jolt of the cryopod cycling down rips you"

"ou carefully swing your legs out"

I find this really interesting that it's like 99% there, and the thing runs and executes, yet the copy has typos.

But be sure to connect Studio to Google Drive, or else you will lose all your progress.

All the copying and pasting is killing me.