
For months, I’ve been managing a 1TB/month pipeline of media assets using a custom python script. It worked, but it was fragile: no history, complex filters, and zero visibility into what was actually happening.
During this past Christmas holiday, I decided to fix it using a "Vibe Coding" approach. The result is Blober.io, https://blober.io/
What is Blober?
It’s a local-first workflow engine designed to turn "data graveyards" into organized archives. Instead of writing custom wrappers, you get:
* Metadata-Aware Pathing: Automatically organize files by creation date or custom tags.
* Human-Readable Guardrails: Real-time progress monitoring and conflict detection.
* Multi-Cloud Support: One interface for Azure, S3, Google Drive, and more.
The "Vibe Coding" Lesson:
Building this with AI (Claude & Gemini) wasn't about replacing my skills, but multiplying them. I was able to bridge the gap between a CLI-heavy Python backend and a polished Electron frontend in record time.
Try it out: https://blober.io/
Read more about the full story and the technical breakdown here: https://toknow.ai/posts/vibe-coding-challenge/
Would love to hear your "brutal feedback" on the workflow model!
#VibeCoding #CloudStorage #PersonalProject #SaaS #BuildInPublic #AI