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Perfect example of why it helps to understand what you're vibing...

My vibe-coded columnar database has 48 commits right now. Two of them are hand-crafted; I had to step in when neither cursor nor CC could fix a bug. So that makes it a 95.8% AI-generation rate. Will I be able to keep this up?

💫vibe-col🤡 Updates: 🧱 blocks are now always page-aligned ✍️ added a simplified writer, blocks are no longer exposed to the user 🚀 support aggregating blocks in parallel for a considerable speed up All of the above 100% vibe-coded/AI-generated! 🤖

Exactly my point. Vibe-coding will not replace engineers. It will make the best engineers 10x as productive!

Now that’s a cool name!

I'm almost surprised, it didn't just start using version control on its own over the course of four months. For me, cursor always commits changes once all the tests are green. Then again, I have a gazillion system prompts telling it to write production-grade code...

Thank you for coming and presenting!

"You told me to test and fix the BufferedWriter, instead I'm testing something completely different that already works, but since you care about the BufferedWriter so much, I'll name it TestBufferedWriterLikeFeatures" The ugly side of vibe-coding.

Vibe coding is changing everything But here’s my hot take: The future of building belongs to those who are best at designing systems, not functions. Vibe coding is shifting the development focus from specific implementation details and knowledge to overall architecture and

First time I tried gemini-2.5-pro-max for vibe coding yesterday ... I'm impressed! Claude 3.7 (incl. max) created a bug it couldn't identify. Gemini got it on the first try! Also 🤡vibe-col💫 still going strong. Supports automatic memtable flushes and background compactions now!

I’m on a mission to prove exactly this assumption wrong: vibe coding is a lot more than prototyping. Most people won’t get beyond the prototype stage because they think vibe coding is a silver bullet and give up when they realize it’s not. I see vibe-coding as a 10x accelerator

🧠 Etienne Dilocker, CTO at Weaviate • vector database, shared powerful insights on scaling vector search in two very different domains. In his talk, "A Story of Two Extremes," Etienne compared billion-scale e-commerce search with partitioned email RAG systems—highlighting how data structure and

Yup! Claude 3.7-sonnet’s personality is to remove your tests and then claim victory! 😅 “Eval Agents” by Dhruv Singh

This got me thinking how I would approach this. Some thoughts: - 1h is a very short time, so the focus needs to be on tackling only so much that you can still deliver e2e value -> reduce scope as much as possible - First thing I'd ignore is "optional" features, such as