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Ask HN: Any example of successful vibe-coded product?

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Re: Ask HN: Any example of successful vibe-coded product?

#42

If by production you accept a new programming language than yes: https://github.com/pannous/goo (1% handwritten go extensions)

This is so ironic. Why would you add all these "features" to Go, if you're not interested in using the language at all?

Re: Ask HN: Any example of successful vibe-coded product?

#44
post #16

Why do I read about all the vibe coders claiming to be 20X engineers in LLM threads and replacing many departments. Yet here is not a fking single commercially successful thing here? Funny also how Loveable and the like are hiring engineers like crazy, yet think engineers are not needed anymore. Why not just vibecode Loveable itself? Oh wait I can tell you why.

You could probably find a good answer anywhere, but the solution is in a more nuanced view.

Some types of programming benefit more from AI tooling than others. For example, prototyping seems to be the most fruitful area. Also, writing small utilities is much easier, to the extent that a two hour job would now take only a few minutes. That's where you get the multiplier posts from.

But working in a large codebase using proprietary libraries is not a solved problem for AI (yet).

It's just that the average engineer does not spend all of their time on things that can be sped up.

Speeding up 1% of your time by a factor 20 simply does not help very much. But for some roles, I'm sure that a 10% net increase in productivity is realistic.

Re: Ask HN: Any example of successful vibe-coded product?

#45

Vibe coded this with my son. Something I always wanted since we often record sporting events and want to know if it’s worth watching. So, successful in that sense and works in real time. https://www.donttellmethescore.com/nfl

Gives me a sever error

Re: Ask HN: Any example of successful vibe-coded product?

#46
post #39
post #23

Earlier quoted context omitted.

OpenAI themselves uses vibe coding to develop their services

Put "I don't have any experience in software engineering but can vibe code very well" on your resume and see if you get any interest from OpenAI or Anthropic or any one in the long list of companies that have declared software engineering dead and LLMs the future of coding. It's telling that they will put their own applicants through a dozen rounds of stringent technical interviews, Leetcode exercises, use anti-AI as…

That's a bit dishonest. Obviously, vibe coding is only productive for engineers who actually know what they're doing. Perhaps it is best to consider it a multiplier, not an enabler.

Re: Ask HN: Any example of successful vibe-coded product?

#48
post #45

Vibe coded this with my son. Something I always wanted since we often record sporting events and want to know if it’s worth watching. So, successful in that sense and works in real time. https://www.donttellmethescore.com/nfl

Gives me a sever error

Sorry, just a vercel free tier project used by two people… Perhaps this is too much success. Seems to be a rate limit on one of the free data sources I use. Should be vibe-fixed now.

Re: Ask HN: Any example of successful vibe-coded product?

#49

Vibe coded this with my son. Something I always wanted since we often record sporting events and want to know if it’s worth watching. So, successful in that sense and works in real time. https://www.donttellmethescore.com/nfl

Hug of death. Wonder if it's due to HN readers or the LLMs perpetually scanning threads saw the URL and hammered it looking for novel content?

Re: Ask HN: Any example of successful vibe-coded product?

#50
I’ve pushed a full-stack educational platform for parents, My DigitAlly, to production using what we call "Systematic AI Collaboration" (a matured version of vibe-coding). It isn't a static site; it’s a production app with: Full Auth: Google OAuth and email/password. Engagement Engine: A node-cron system that automatically sends weekly tips to 200+ subscribers every Saturday. Dynamic Curriculum: A 5-block lesson flow driven by a JSON-based instructional design framework. Automated Resources: Auth-aware server-side PDF generation for parent checklists.

The "Methodology" that made it work: We moved from initial idea to production in four weekends while I maintained a full-time role. The key was moving past "chaotic vibes" and treating different LLMs like specialized team members: A) Strategic Layer (Gemini Pro): Used for architectural decisions (React/Vite, Node/Express, PostgreSQL/Prisma) and product prioritization.

B) Execution Layer (Claude Code): Used for heavy lifting—implementing the cron jobs, refactoring API patterns, and writing the test suite.

C) TDD as the Guardrail: We never "just coded." Every AI-generated feature followed a strict Test-Driven Development cycle using Vitest. If the tests didn't pass, the code didn't go to production.

The result is a stable system serving 200+ active users with a codebase that doesn't feel "schizophrenic" because we maintained strict cognitive boundaries and context documents for the AI to follow.

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