Reading the comments in this thread, i honestly dont get it. 5.6-sol has felt like a regression in capability. In fact, every model since 5.3-codex has been a regression from OpenAI. I just find 5.6-Sol over engineers problems, takes absolutely ages to solve basic problems....

At this point, I'm considering going back to cursor over codex due to the ability to get more control over what model I use since there is clearly a heap of user preference and having frontier providers constantly shift the goal post with "State of the Art" is complete non-sense.

It depends on what effort you're using etc. As an example [1] of what codex is capable of, here's hugo (written in golang) ported to TypeScript - and then a TypeScript to Rust transpiler which converts arbitrary TypeScript into Rust.

The TypeScript code which was transpiled into Rust (and is compatible with most hugo templates) runs faster than the original hugo.

[1]: https://github.com/tsoniclang/tsonic-examples/tree/main/rust...

The transpiler is still WIP, but the fact that it can do this says a lot of about how far LLMs have come.

its over engineered problem solver ???? well because its a designed to do that

if you want to solve basic problem then use Luna

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