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, 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.
2. Human-Readable Guardrails: Real-time progress monitoring and conflict detection.
3. Multi-Cloud Support: One interface for Azure, S3, Google Drive, and more.
The "Vibe Coding" Lesson:
Generally, I have found the following to be true about AI-assisted solutions in all domains:
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AI is good for:
- Drafting (kick starting a new project, templating, Generating a new document, etc)
- Proofreading (writing tests, debugging errors, etc)
- Manipulation (summarizing text, rephrasing a document, remixing the tone or theme of a text block, improving existing code, etc)
AI saves you money in the short run (you dont need a website designer), but compensates by wasting time (you spend all the time prompting and tuning a design)
Simply speaking, AI is best used as a multiplier of existing skills, not a replacement for them.
Try it out: https://blober.io/
Read more about the full story and the technical breakdown here: https://toknow.ai/posts/vibe-coding-challenge/
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