Comment by mohsen1

4 hours ago

I am experimenting with writing en entire TypeScript compiler[1] with AI assistant. I've spent 4 months on it already. It might not be successful at the end of the day but my thinking is that if LLMs are going to write a lot of the code I better learn how this can and can not work. I've learned a lot from this project already. I think we're still in charge of design and big ideas even if all of the code is written by AI

[1] https://github.com/mohsen1/tsz

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mohsen1

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Insanity  3 hours ago

I'm also experimenting with it more and more. Now I'm trying to create a 2D side-scrolling shooter with it, running in the browser. When it was relatively small, it did a good job. As the codebase and docs/ files that I'm using get larger it starts hallucinating, especially when the context gets at about 50% usage (Codex w/ gpt5.5). As in, it'll literally forget to update parts of the code.

e.g, I change velocity of player to '200' and of bullets to '300', and it only updated the bullet velocity. Then told me the player was already 'at the correct value' even though it was set to 150. Things like that.. :)

  • mohsen1  2 hours ago

    For me, unless there is a concrete way of proving work is correct you can't rely on AI coding. tsz has super strict tests around correctness, performance and architectural boundaries

    • Insanity  1 hour ago

      If I understood you correctly, I think I'm less extreme than that. Most code written by humans is also not provably correct. But I'm assuming you mean provably correct like Lean: https://lean-lang.org/, and not just "passes tests".

      If you mean 'passes tests', that can be tackled by AI. Although AI writing its own tests and then implementing its own code is definitely not a foolproof strategy.

copypaper  3 hours ago

>25k commits in 4 months or about 1 commit every 7 minutes

How do you manage/orchestrate this? I'm genuinely curious.