I don’t know about ChatGPT, but Github Copilot can act like an autocomplete. Or you can think of it as a fancier Intellisense. You still have to watch its output as it can make mistakes or hallucinate library function calls and things like that, but it can also be quite good at anticipating what I was going to write and saves me some keystrokes. I’ve also found I can prompt it in a way by writing a comment and it’ll follow up with attempt to fill in some code based upon that comment. I’ve certainly found it to be a net time saver.
Comment on AI-generated code contains more bugs and errors than human output
racketlauncher831@lemmy.ml 5 days agoHow? “Hey, ChatGPT, write the thirty-second line of this function?”
toddestan@lemmy.world 5 days ago
diabetic_porcupine@lemmy.world 5 days ago
Well not quite - I use ChatGPT more like to brainstorm ideas and sometimes I’ll paste a whole file or two into the prompt and ask what’s wrong and tell it the issue I’m seeing, it usually gives me the correct answer right away or after clarifying once or twice.
I use copilot for tab completion. Sometimes it finishes a line or two sometimes more. Usually it’s good code if it’s able to read your existing codebase as a reference. bonus points for using an MCP.
Warp terminal for intensive workflows. It’s integrated into your machine and can do whatever like implementing CICD scripts, executing commands, ssh into remote servers set up your infrastructure etc… I’ll use this when I really need the ai to understand my code base as a whole before providing any code or executing commands.