For example, any amount of software development involves fixing bugs, getting feedback from users on ideal workflows, an iteration loop of performance and bug tuning, etc. AI cannot simply create, from scratch, perfect software. Even using the SOTA models on max effort does not produce bug free software of any meaningful complexity or innovation out of the box. All that has changed is that the act of physically writing code and implementing existing patterns is now effectively a marginal cost.
Most line of business software is not e.g., delivering a company's income. Most software is in back-of-the-house internal products that do various internal tasks. I have no doubt that these processes are now far easier to build.
If the new Copilot is so great, why is it completely out of the current zeitgeist when compared to Codex and Claude Code?
Make it port some Rust to JS, see how that goes.
And Rust isn't a super difficult language to use on a daily basis. Sure, the initial learning curve is obnoxiously steep, but it's arguably easier to use than other languages once you get past that.
The LLM crowd have this habit of equating something that they don't understand with requiring some kind of advanced skill.
https://georgzoeller.com/blog/posts/what-reverse-engineering...
> simple C++/SDL to TypeScript/Three.js
Was that misrepresentation intentional?
In that context, discussing whether TS or JS are strongly typed -- especially when TS is a straightforward translation to JS -- is a diversion from the main point that LLMs have already demonstrated something much, much harder.