These products are not complicated at their core — you can pretty much just drop in something like Monacopilot [1] and be 80% of the way there. But the last 20% is a real slog, and it mostly comes down to handling edge cases (bracket closing...) and optimizing prompting/context so you aren't burning cash. Whatever anyone claims about "feeling the AGI," AI isn't there yet.

[1]: https://github.com/arshad-yaseen/monacopilot

They did. They’ve just released codex (CLI client).

They don’t have access to copilot users in general, Microsoft and Google does. And perhaps they are realizing that Microsoft is hedging them over multiple LLM providers and maybe no longer feeding them juicy copilot data, with humans in a tight loop, correcting LLMs.

Controlling demand (developer workflow and mindshare) is a good position if you're trying to build scale on supply.

Maybe to avoid the Second System Effect.