I see a lot of hype around vibe coding. Truth is prototypes are easy. Running real apps is not. When it comes to production you need good Architecture, data model, async programming, DB normalization, Security, etc. That is also how you make the most of vibe tools or AI…
After building a few AI apps, eval-first development with a good eval suite transformed my workflow.
Slow at first but every release is smoother now. What is your eval approach?
Which embedding model are you using in production? The landscape has changed a lot in the past year. I am curious about the usage patterns
- OpenAI embeddings
- Jina AI embeddings
- Voyage AI embeddings
- Google Gemini embeddings
- Self hosted open source models
- Others
Drop…
Most developers use coding assistants wrong. They describe what they want built and hope the output works. When it does, they move on. When it breaks, they ask for it to fix until it works.
Effective vibe coding treats the assistant as a thinking partner, not a code generator.…
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