GitHub user gupta-sahil01 added a comment to the discussion: Ambient "operator recommender" — predictive next-operator suggestions on the canvas
I'm still looking into the auto code completion of cursor. Right now, from what I've understood, is that cursor uses a small custom-trained model (not GPT or Claude) fine-tuned specifically for code completion, with a ~272k-token context window over your current file, open tabs, and recent edits. There's a neat trick called "speculative edits", which means that they feed your existing code back to the model as draft tokens, so it only emits the bits that change, about a 13× speedup, which is what lets full-file rewrites feel instant. GitHub link: https://github.com/apache/texera/discussions/5240#discussioncomment-17312370 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected]
