lakySK

Nice, this looks very promising!

Is there a way to create a note? Haven't seen it in the help menu yet (but could've just missed it during my quick skim).

If you treat LLMs as know-it-alls and just copy the output, then your expectations of the current generation of LLMs are too high.

That doesn’t mean they’re not useful though.

Definitely experienced all 3, but still getting more boost than drag overall.

The large codebase context might be somewhat solvable and I've seen projects that use embeddings to find the relevant bits of code to feed GPT to help it with context. No clue how well any of them work though, haven't tested them yet.

I've definitely noticed times when the conversation gets cut off and it can't "remember" the previous messages. Often, it results in a loop of ChatGPT giving me a solution, me getting an error and sending it back, then ChatGPT being terribly sorry and suggesting a new solution. Repeat 3 times and often we make a full circle to the first solution in this way...

Another great example!

With the out-of-date SDK, I had a similar experience. ChatGPT got me started with ManifestV2 for the Chrome extension and I found out it's getting deprecated and I should really use ManifestV3. But you know what, I asked ChatGPT how to update from ManifestV2 to ManifestV3 and it gave me the steps and things to fix. I had to do a few iterations as new errors were coming up and some things needed a bit of a refactor, but it was all done quite fast.

The fear of juniors skipping out on key learnings, or even perhaps having a hard time finding jobs in a few years is definitely interesting and something I'm super curious to see how it will go...

For sure! I think I learn best by trying to build something rather than following a tutorial. ChatGPT just makes that so much faster to jump straight into that.

Agreed that ChatGPT can be a bit of a hit or miss when you ask it to produce code. But, I'd say a good 50% of the code I recently wrote was actually created by AI and I'm a lot more productive thanks to it.

3 big use cases for me so far:

- Github Copilot is just great. Often it helps fill in the code I was just about to write (or Google search). It just saves time, period. Plus, there's been at least a few times when I was ready to throw in the towel at the end of the day. But carried through as Copilot suggested the next line or implementation of a method I wanted to just create a placeholder for.

- ChatGPT for a project in an unknown domain. A few weeks ago I wanted to create a Chrome extension. I've never done it before and didn't know where to start. I asked ChatGPT and it delivered a great interactive tutorial with just the right code to get me started (I had to fix a few bugs that ChatGPT helped debug). Am I an expert in Chrome extensions thanks to it? Hell no! Have I created a working Chrome extension in a very short amount of time? 100% yes!

- ChatGPT for debugging. When I search for an error and get not-so-relevant Google search results, often ChatGPT can suggest rather relevant things to look into given an error message.

Of course, your mileage may vary, but saying AI does not help programmers based on a quick test of it not implementing things perfectly seems a bit surprisingly shortsighted I'd say.