I used AI to make an app for work but it did 99% of the code (5500 lines or so), what should I do as a CYA? /u/No-Issue-9136 CSCQ protests reddit

My employer knows I used AI (o1 pro) but they may not be aware that I literally wrote no code.

They love the app so far and I’m well ahead of schedule (web app using Python and JS, separated into multiple decoupled smaller apps that live in separate docker containers on kubernetes and communicate via API)

And I can explain really well what about 85% of it does because I architected it from the ground up through probably 200 revisions within the AI, debugging etc.

So when someone asks me “how does it do X” I can break down the logic really well. But if they ask “what does this specific function do” ill pretty much have to admit i only skimmed over the code and don’t know.

Is my remedy to this to unit test the entire code? I’ll need to do that anyway and I think this would get me up to speed with the codebase enough to truly call it my own.

I’ve really found there’s nothing i can’t do with AI. I have run into the “niche area AI isn’t trained on” problem but that’s actually solved now, as you can point it towards the internet or repos to learn new tech.

I also had an issue where it just couldn’t get the API calls right for super niche software I was using.

I told it to use me as a conduit and I let it send api calls via me using curl and I pasted the response about a dozen times until it told me it “learned enough” and then it was fine. Since it didn’t truly learn since I can’t retrain it I told it to write a letter to itself in the past with what it learned that would be delivered by a time traveler. It did and now I paste that at the start of any convo involving that API to get it up to speed.

My employer knows I used AI (o1 pro) but they may not be aware that I literally wrote no code.

They love the app so far and I’m well ahead of schedule (web app using Python and JS, separated into multiple decoupled smaller apps that live in separate docker containers on kubernetes and communicate via API)

And I can explain really well what about 85% of it does because I architected it from the ground up through probably 200 revisions within the AI, debugging etc.

So when someone asks me “how does it do X” I can break down the logic really well. But if they ask “what does this specific function do” ill pretty much have to admit i only skimmed over the code and don’t know.

Is my remedy to this to unit test the entire code? I’ll need to do that anyway and I think this would get me up to speed with the codebase enough to truly call it my own.

I’ve really found there’s nothing i can’t do with AI. I have run into the “niche area AI isn’t trained on” problem but that’s actually solved now, as you can point it towards the internet or repos to learn new tech.

I also had an issue where it just couldn’t get the API calls right for super niche software I was using.

I told it to use me as a conduit and I let it send api calls via me using curl and I pasted the response about a dozen times until it told me it “learned enough” and then it was fine. Since it didn’t truly learn since I can’t retrain it I told it to write a letter to itself in the past with what it learned that would be delivered by a time traveler. It did and now I paste that at the start of any convo involving that API to get it up to speed.