u/rr1r2r3r

Being hard of hearing and having to work for minimal pay, deciding to pursue a degree wasn’t an easy decision, and completing it was even harder.

Today, I can finally say it: I’ve completed my Bachelor’s in Computer Science!

I’m incredibly grateful to UoPeople for giving me this opportunity and, especially, for the tremendous scholarship support that made it possible.

There were plenty of difficult moments along the way, but I kept going.

120/120 credits. 3.80 GPA. Degree completed.

Thank you, UoPeople. This one means a lot to me.

Built a small project called ListMySlop over the last few days.

The interesting part wasn't the directory itself, it was seeing how far I could get with AI-assisted development.

Mainly used:

- OpenCode

- Big Pickle

- Claude

- ChatGPT (mostly for debugging and second opinions)

Stack:

- Next.js

- Supabase

- Vercel

- Resend

The actual features were straightforward. Most of the time went into deployment issues, Supabase RLS policies, email setup, custom domains, social preview metadata, and fixing things that were technically "working" but not actually working.

One thing I've noticed: AI is great at generating features, but the real bottleneck becomes understanding how all the generated pieces interact when something breaks.

Curious if others have had the same experience where building is fast but debugging AI-generated code is where most of the time goes.

Project: https://www.listmyslop.com