Cursor has been a terrible experience lately, regardless of the model. Sometimes for the same task, I need to try with Sonnet 4.5, ChatGPT 5.1 Codex, Gemini Pro 3... and most times, none managed to do the work, and I end up doing it myself.
At least I’m coding more again, lol
The auto-complete suggestions from FIM models (either open source or even something Gemini Flash) punch far above their weight. That combined with CC/Codex has been a good setup for me.
The answers were mostly on par (though different in style which took some getting used to) but the speed was a big downer for me. I really wanted to give it an honest try but went back to Claude Code within two weeks.
I've actually been working on porting the tab completion from Cursor to Zed, and eventually IntelliJ, for fun
It shows exactly why their tab completion is so much better than everyone else's though: it's practically a state machine that's getting updated with diffs on every change and every file you're working with.
(also a bit of a privacy nightmare if you care about that though)
these agents are not up to the task of writing production level code at any meaningful scale
looking forward to high paying gigs to go in and clean up after people take them too far and the hype cycle fades
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I recommend the opposite, work on custom agents so you have a better understanding of how these things work and fail. Get deep in the code to understand how context and values flow and get presented within the system.
This is obviously not true, starting with the AI companies themselves.
It's like the old saying "half of all advertising doesn't work; we just don't which half that is." Some organizations are having great results, while some are not. From the multiple dev podcasts I've listened to by AI skeptics have had a lightbulb moment where they get AI is where everything is headed.
This is well known I thought, as even the people who build the AIs we use talk about this and acknowledge their limitations.
Also, the quality of production ready code is often highly exaggerated.
What I mean more is that as soon as the task becomes even moderately sized, these things fail hard
I think the new one is. I could be the fool and be proven wrong though.
Has a section for code. You link it to your GitHub, and it will generate code for you when you get on the bus so there's stuff for you to review after you get to the office.
