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It's about the ability to combine ideas in novel ways, without breaking the rules in relevant frameworks. Sometimes the idea may even be to contradict existing theories where they are weak.

I wrote IntentCode, but it seems to have gone under the radar: https://github.com/jfilby/intentcode


I've built an AI compiler that has my take on this: https://github.com/jfilby/intentcode


I wrote something similar where you specify the intent in Markdown at the file level. That can also be done by an AI agent. Each intent file compiles to a source file.

It works, but needs improvement. Any feedback is welcome!

https://intentcode.dev

https://github.com/jfilby/intentcode


Hi HN,

I wrote IntentCode to let people write high-level specs in natural language, or directly in pseudo-code (Markdown with guidelines I call the IntentCode).

This is an AI compiler, the IntentCode files get compiled to source 1:1. The examples so far are quite basic (calc CLI app) but prove that the concept is sound.

You can also write extensions, which are mainly skills files for now.

I intend to keep progressing the compiler, so that larger and more complex examples can be implemented.


I wrote something similar: https://intentcode.dev


An AI compiler, releasing later today: https://intentcode.dev


I'm actually building this and believe I've overcome the most difficult aspects mentioned here. It will be released as Open Source next week. https://intentcode.dev


Benchmarks would be nice to help understand the performance implications.


Likely if they sponsor a ton of tokens.


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