[timuckun]

It's been my experience that strongly opinionated frameworks are better for vibe coding regardless of the type system.

For example if you are using rails vibe coding is great because there is an MCP, there are published prompts, and there is basically only one way to do things in rails. You know how files are to be named, where they go, what format they should take etc.

Try the same thing in go and you end up with a very different result despite the fact that go has stronger typing. Both Claude and Gemini have struggled with one shotting simple apps in go but succeed with rails.

[siva7]

In comparison a completely unopinionated framework like fastapi, which got a popularity boost in the early a.i. surge, is a mess to work with if you are vibe coding. Most popular frameworks follow the principle of having no clear way how to do things and leave it up to the developer. Opinionated frameworks got out of fashion after rails but it turns out those are significantly better suited for a.i. assisted development.

[solumunus]

You can opinionate Claude remarkably well with context files. I use a very barebones routing framework with my own architecture and Claude knows how all the parts should fit together. I also publish to context files the entire database structure along with foreign key pairings, that made a tremendous difference.

[yurishimo]

That's an interesting assertion you make there about opinionated frameworks. Do you have a source for that? From my perspective, opinionated frameworks have only gotten more popular. Rails might not be the darling of every startup in existence anymore but I think that's largely down to other languages coming in and adopting the best parts of Rails and crafting their own flavor that plays to the strengths of their favorite programming language. Django, Laravel, Spring Boot, Blazor, Phoenix, etc etc.

While a lot of people here on this platform like to tinker and are often jumping to a new thing, most of my colleagues have no such ideas of grandeur and just want something that works. Rails and it's acolytes work really well. I'm curious to know what popular frameworks you're referencing that don't fit into this Rails-like mold?

[brokegrammer]

My experience has been the opposite with Rails because of open-ended patterns with Hotwire. Sure, Rails itself is opinionated but Hotwire provides multiple ways to do the same thing, which confuses LLMs. For example, recently I tried building a form that allows creating related objects inline using modals. Claude 4 Sonnet got quite confused by that request, no matter how much help I provided. It managed in the end but the solution left a lot to be desired for. It can build the same feature using React on it's own with basic instructions.

Same thing with other libraries like HTMX. Using TypeScript with React, and opinionated tools like Tanstack Query helps LLMs be way more productive because it can fix errors quickly by looking at type annotations, and using common patterns to build out user interactions.

[dmix]

I find Claude works extremely well at generating Stimulus controller code. Likely a lack of documentation and git repos with larger Hotwire codebase patterns that it was trained on.

[topato]

This is pretty anecdotal, but it feels like most of the published rails source code you find online (and by extension, an LLM has found) is from large, stable, and well-documented code.

[rafamvc]

Claude code with rails is amazing. Should out to Obie for the Claude on rails. Works phenomenally well.

[EGreg]

Basically it's like this:

the more constraints you have, the more freedom you have to "vibe" code

and if someone actually built AI for writing tests, catching bugs and iterating 24/7 then you'd have something even cooler

[delta_p_delta_x]

> if someone actually built AI for writing tests, catching bugs and iterating 24/7

This is called a nightly CI/CD pipeline.

Run a build and run all tests and run all coverage at midnight, failed/regressed tests and reduced coverage automatically are assigned to new tickets for managers to review and assign.

[mhluongo]

Have you considered that instead, whatever LLM has the most examples of are what it's best at? Perhaps there's more well-structures Rails code in training than Go?

[delifue]

In my experience Gemini can one-shot go apps. Determining it requires sound eval instead of anecdotes.

[Tostino]

I'd really like to know what type of apps you're actually one-shotting with an AI. Seriously, can you please give me some example code or something because it seems like anything past a trivial program that doesn't actually do what you specified is far beyond their capabilities.

[timuckun]

My experience with Gemini has been pretty dismal. The CLI works much better than the VS code extension and both of them have struggled with one shotting go. Single files or single functions no problem though.

[debugnik]

Weird, I thought Go was one of the go-to examples in HN for languages that LLMs work well with, precisely because it's opinionated and has many standard libs. Not that I've tried, my attempts at vibe coding felt disappointing, but I think this contradicts the zeitgeist?

[Fire-Dragon-DoL]

I work in both ruby and go. There is no comparison ai is way better with ruby (rails).

[globular-toast]

Well yeah, it's like how a 5 year old can talk about what they want in their sandwich but will probably struggle to describe the flavours and textures they enjoy in detail.

[hkt]

I've been using flask and the results are remarkable. Remarkable to the point where I've one-shotted rather good things that I'm now using daily.

[newswasboring]

This isn't a fully formed thought, but could this be mitigated by giving LLMs your opinions? I am using copilot in more of a pair programming manner and for everything I want to make I give a lot of my opinions in the prompt. My changes are never too large though, a hundred lines of diff at most.

[liveoneggs]

it sounds like you should have just been writing configuration this whole time?