The AI Investment Boom

> AI products are used ubiquitously to generate code, text, and images, analyze data, automate tasks, enhance online platforms, and much, much, much more—with usage expected only to increase going forward.

Why does every hype article start with this. Personally my copilot usage has gone down while coding. I tried and tried but it always gets lost and starts spitting out subtle bugs that takes me more time to debug than if i had written it myself.

I always have this feeling of 'this might fail in production in unknown ways' because i might have missed checking the code throughly . I know i am not the only one, my coworkers and friends have expressed similar feelings.

I even tried the new 'chain of thought' model, which for some reason seems to be even worse.

Well I have the exact opposite experience. I don't know why people struggle to get good results with llms.

LLMs are great for simple, common tasks, i.e. CRUD apps, RESTful web endpoints, unit tests, for which there's an enormous amount of examples and not much unique complexity. There's a lot of developers whose day mostly involves these repetitive, simple tasks. There's also a lot of developers who work on things that are a lot more niche and complicated, where LLMs don't provide much help.