They will retract the statement once data-center spending dries out ;)

They will retract the statement once data-center spending dries out ;)

You called it “pure drivel” and then quoted the one line that’s a file-naming convention, not the argument… The moat in CoDoc is that the documentation ships inside the package, version-matched, offline, deterministic. Can you tell me what proportion of software libraries today ship complete AI-optimized documentation within the library’s artifact? I’ll wait.

And to your frontier-model guess, the models behind the research agents are: Opus 5.5 and Astra. So no, not slop.

As for “open weight models are nowhere near the capabilities of frontier models”: sure, on raw benchmark scores (but they always end up catching up). Vercel’s evals on Next.js 16 APIs (absent from training data) show 100% pass rate with bundled docs vs 53% without. As stated in the post, the bottleneck for a 27B local model isn’t raw intelligence, it’s context. CoDoc fixes the context for free. A 27B on your laptop with the right context can beat a frontier model that’s hallucinating your v5 API signatures.

Keep letting the Goliaths vacuum your code, your tokens, and your money. The fizzy orange drink is on them.

P.S. Post and comment 100% written by a human, in case you had any doubts :)

Be our guest 👍

The LLM provider/creator would have to disclose this. Easier said than done but you would need open-source models and not just open-weight models.

We now have more capable hardware and there are different needs and constraints for web-development.

I would recommend Qwen4-27B + CoDoc

What is CoDoc? Have a look at the recent post I published so that you have all context (no pun intended) ;)

IMO, massive costs savings ahead for those that adopt the set-up above.