I found the whole section super interesting... I'll copy it here:

I used a lot of OpenAI models to try and complete this port. In total I did over $400,000 in API priced tokens with GPT-5.6 Sol and GPT 6 Astra. They wrote over 1.3m lines of Rust over multiple months of /goal loops and never got past like 84% compat.

When I saw how little my Claude Code limits were burning, I figured it'd be fun to throw Opus 5.5 at this. It had a working v0 in 10 hours.

I assumed it kept using the code the Codex models wrote. I was wrong. Opus 5.5 started from scratch. It got further than Astra in 1/10th the time.

I let it keep going, and it definitely did. Total token spend was ~$24,047 of API spend over 2 weeks. I was using my Claude accounts, and it worked out to somewhere between 925% and 983% of my $200 plan weekly limits.

Expensive, for sure, but not that bad considering how much work has went into typescript-go.

This is Theo's project, and he has been very transparent about how he is only doing these things because api prices are heavily subsidized by subscription pricing. The reason people aren't willing to pay 400k to an engineer to do this work is because they aren't paying the AI this much.

I don't think I've seen an enterprise paying API prices doing these sorts of rewrites, and honestly, I think until that happens I will remain skeptical about LLM AI's viability as a profitable business.

I've had the same thought about the maths - they've spent millions on tokens, I can't recall anyone spending millions on mathematicians.