Is it:
- just pressing tab and letting copilot code whatever?
- asking an llm to do everything that it can and falling back on your own brain as needed or when its easier.
I guess probably more like the latter. I was just surprised to hear there was a special term for it. I thought everyone was doing that.
Its so fast to do these things. Seems dumb not to use an LLM to interpret an error message if you don’t immediately know the problem. And if it doesn’t work you can alway abort and do it yourself. The whole code gen and debugging process might take 45 seconds.
Sure its dumb if you’re writing some short simple function. And you need to be in the loop and understand all the changes you are making in a professional setting. But that just sounds like the basic workflow of coding with an LLM.
So if you are having the agent write a script to call an endpoint and do something with the result. Have it write a script that does that and then ask it to run the script itself. It will then be able to close the loop by itself and iterate on the code until it does what you want (usually).
It is also very useful to ask the agent to write a test for something and then run that test to close the loop in the same way.
I like to think I learned this from the person who killed YOLO a decade ago (she teaches English).
Copilot anticipating based off what you’re typing? An explicit prompt about what you want?
The input is undefined char*, and that's the magic of it. It's kinda funny we're reaching the phase where some people throw Syntax Error on a missing colon, but AI be like "I want sfssfsfsffsfs" "ayyy got you covered". How the tables have turned.