Yes, that's the real strenght of it. The structure is dead simple so you just have to switch the goal metric.

I used it on a data science project to find the best rules for achieving a defined outcome. At first, for fun, then I actually used some of its insights (and it caught a sampling issue I overlooked, oops)

I used Ministral for data cleaning.

I was surprised: even tho it was the cheapest option (against other small models from Anthropic) it performed the best in my benchmarks.

Mistral is super smart in smaller context and asking questions about it

A lot of comments reads like a knee jerk reaction to the Twitter crowd claiming they vibe code apps making 1m$ in 2 weeks.

As a designer I'm having a lot of success vibe coding small use cases, like an alternative to lovable to prototype in my design system and share prototypes easily.

All the devs I work with use cursor, one of them (front) told me most of the code is written by AI. In the real world agentic coding is used massively

Made to Stick by Chip & Dan Heath, and Influence by Cialdini are classics for a reason. Influence in particular made it shockingly clear how our environment shapes not only our decision process, but our personality.

The Goal was such a fun read, the solution is always evident in hindsight but I found myself having small "aha" moments over and over.

Yes this works surprisingly well. Just a bit sad we have to block everything coming in by default

Haha yes HN is definitely one of the few untouched gems of the internet. Perfect for tech-related articles, less so for culture, science, politics and global news

Every major global news story pops up here fairly rapidly, and major science, political and many cultural ones get covered. Like unless you're looking for pop star relationship/breakup news or something. Thing is, stuff moves quite fast around here.

I don't follow closely all these benchmarks but I would love to have some idea of the status of models for these specific use cases. Average intelligence is close for each mainstream models, but on writing, design, coding, search, there is still some gaps.

Even if it's not benchmark, a vibe test from a trusted professionnal with a close use case to mine would suffice.

Your point about ecosystem is true, I just switched main main provider from OpenAI to Anthropic because they continue to prove they have a good concrete vision about AI

I don't know about life-changing but to me there are two major benefits that get me really interested:

- Augmenting CLI with specific knowledge and processes: I love the ability to work on my files, but I can only call a smart generalist to do the work. With skills if I want, say, a design review, I can write the process, what I'm looking for, and design principles I want to highlight rather than the average of every blog post about UX. I created custom gems/projects before (with PDFs of all my notes), but I couldn't replicate that on CLIs.

- Great way to build your library of prompts and build on it: In my org everyone is experimenting with AI but it's hard to document and share good processes and tools. With this, the copywriters can work on a "tone of voice" skill, the UX writers can extend it with an "Interface microcopy" skill, and I can add both to my "design review" agent.

As a designer I'm following the space quite closely. In the not-so-distant future, we might skip most visual software and work directly with code. Especially if we have cool transitional solutions like this

I'm still wondering about how this approach would work when conceptualizing flows, systems, or more complex interfaces

I’m in a similar boat. I do like the idea of code as material and this could be a version of that.

I find conceptual work is sending me back to paper and lower fidelity even more these days with AI. The fundamentals thrive with more freeform tools.