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So I often use Github Copilot at work usually with o1-preview as the LLM. This often isn't "autocomplete" which generally uses a lower end model, I almost exclusively use the inline chat. That being said.. I do also use the auto-complete a lot when editing. I might create a comment on what I want to do and have it auto-complete, that is usually pretty accurate, and also works well with me since I liked Code Complete comment then implement method.

For example I needed to create a starting point for 4 langchain tools that would use different prompts. They are initially similar but, I'll be deverging them. I would do something like copy the file of one. select all then use the inline chat to ask o1 to rename the file, rip out some stuff and make sure the naming was internally consistent. Then I might attach additional output schema file and the maybe something else I want it to integrate with and tell it to go to town. About 90% of the work is done right.. then I just have to touch up. (This specific use case is not typical, but it is an example where it saved me time, I have them scafolded out and functional while listening to a keynote and in-between meetings.. then in the laster day I validated it. There were a handful of misses that I needed to clean up.)




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