> Last time I used chatgpt it added many comments to explain the generated code and also attached rough explanatory text.
Good way to know if a PR opened by someone on your team was LLM generated is to look for inane explanatory comments like
// Import the necessary dependencies
import { Foo } from './Foo';
// Instantiate a new Foo
const myFoo = new Foo();
// return the expected value
return true;
I don't know if this is because a lot of the training materials are blog posts and documentation, which are focused more on explaining how trivial cases work than "real world" examples, and thus the LLM has "learned" that this is what real code looks like.
Good way to know if a PR opened by someone on your team was LLM generated is to look for inane explanatory comments like
I don't know if this is because a lot of the training materials are blog posts and documentation, which are focused more on explaining how trivial cases work than "real world" examples, and thus the LLM has "learned" that this is what real code looks like.