One of the things that’s given LaTeX a huge boost is LLMs. There is so much training data in chatGPT and others that you can get perfectly formatted LaTeX with a simple prompt. Unfortunately getting working Typst code is a lot more difficult due to the lack of training data and constant breaking changes. Perhaps someone could look into finetuning an open-source model with examples and documentation? In the long run it might be worth contacting openAI or Anthropic to see if a deal can be worked out to provide training data.
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As far as I know, Claude has some ability to write Typst code, but this code usually contains some errors and requires minor adjustments. However, it is generally usable.
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Perplexity also seems to often generate some relatively good results, at least for concrete questions, as it can search the web for examples by itself.
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I agree this is a huge thing - drawing a diagram in tikz is now very easy (since ChatGPT can do so much for you) whereas with cetz is hard. I would love it if there were a way for LLMs to decode the documentation, and examples around the web, to help generate diagrams.
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Had the same thought. Someone should feed an LLM with the Docs and examples. Perhaps even find a way to generate training examples. (With LLMs themselves, just make it create some examples and correct it until they compile, one could automate this.)
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I have just heard that from the Svelte community that it seems there is a brand new way to resolve the knowlegdge cut by making a document specifically for LLMs, abiding the /llms.txt file proposal.
This is the official Svelte document for LLMs, you can also search on YouTube for “Perfect Svelte 5 code completion for any LLM - Claude, ChatGPT and GitHub Copilot” to find an explanation video for that.
https://svelte.dev/docs/llms
I think we definitely can also, and should adopt those for Typst as well!
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