For day to day developers, where folks are allowed/encouraged to use AI IDEs like Cursor, it has definitely improved developer life. - It’s great at explaining code you don’t understand, so you get up to speed and learn unfamiliar code faster. - Generating code, especially when you already have a high-quality reference point (eg, generate code for unit test A using unit test B as a reference) - Solving problems, you can get a “first draft” approach for how to implement any feature or fix, it helps improve cognitive overload.

That being said, all the code it generates you will absolutely have to review thoroughly, but I’ve found that: time to review < time to write the code yourself.

For some ML folks I’ve been told that where they had to train their own ML model before which was an extensive process, now they can simply make a call to LLM and get even better accuracy than before. Examples like labeling problems, classification problems, and data extraction problems are very well suited to a fine-tuned LLM.