I've been using Cursor for a few months now, mostly for basic tasks like setting up project environments and writing simple scripts. I keep hearing about "hallucinations" with AI assistants, especially with code. I'm worried about relying on it too much if it's still making up APIs or suggesting things that don't work.
Can anyone share a recent, concrete example where Cursor gave you code that looked right but was completely wrong? Something you tried and it failed? I'm particularly interested in cases with B2B APIs, cloud storage integrations (like connecting to S3 or Google Cloud Storage), or common productivity tool setups.
I'd like to know what to watch out for, so I don't waste time debugging AI suggestions.
Absolutely. I had a really specific example just last week that fits your question perfectly. I was building a small integration to pull contact data from HubSpot's API into a custom reporting tool in Cursor. The assistant suggested using a specific endpoint for "deal associations" that looked correct - the syntax, the parameters, all matched HubSpot's style. But when I ran it, it returned a 404. Turns out, that exact endpoint path was deprecated six months ago and replaced with a slightly different one. The AI had mixed an old example with new syntax.
It *looked* completely plausible, and I spent about 20 minutes checking my auth tokens and rate limits before I thought to check the API versioning docs. For cloud storage, I've seen similar things with presigned URL generation for S3, where it'll occasionally use a parameter that's from the boto2 era instead of boto3.
My rule now is to use Cursor as a fantastic first draft, but I always keep the official API docs open in another tab for a quick sanity check on endpoints and authentication methods. The hallucinations are less "invented from nothing" now and more "confidently out-of-date," which can be sneakier!
hannah