This is an experiment i did in the past 3 weeks where i used AI (GPT 4.1 and Claude 4) to recreate my Declarative framework in c# which uses Html + Json in 6 languages.

I was suprised that AI can not only implement the logic in multiple languages, it can go from static typeed languages like c#, rust and go to dynamic languages like php and javascript in node.js to javascript at the client.

Another think i was suprised is that AI can even create the Index page by itself using the 4 declarative rules for which AI implemented the logic.

Even though it is not vibe code, since i controlled the structure of the implementation and asked ai to implemented extensive features like testing, structure dumps to validate the implementation, i have not reviewed the implementation and only in c# which i am familiar with i have briefly reviewed and i can see it is not optimal for implementating future declarative abstractions, but it works.

The implementation is complete to build static web apps using any client side framework

My takeaway using AI is implementing interative loops where you ask something, but also show how the AI can verify whether it has satisfied your requirement was the trick which helped it to complete the implementation in c# and using C# as the prompt helped AI to complete the other langs iteratively.

The output is published in smallest machine in fly under 6 different apps, namely https://csharpassembler.fly.dev/, https://rustassembler.fly.dev/, https://goassembler.fly.dev/, https://nodeassembler.fly.dev/, https://jsassembler.fly.dev/