Can vibe coding build production-ready apps, or only good demos?

Discussions
1

This is something I keep thinking about.

AI tools like Cursor can help you build faster, generate code, fix bugs, create components, and move from idea to prototype quickly.

But production-ready apps need more than working code.

They need:

Clean architecture
Proper state management
Security
Testing
Error handling
Performance optimization
Scalable backend logic
Maintainable code
Real debugging skills

That’s where vibe coding alone can become risky.

My opinion:

Vibe coding is powerful, but only when the person using it understands the basics of software development.

If you know logic, architecture, and debugging, AI becomes a multiplier.

If you only rely on prompts without understanding the code, you may end up with a good-looking demo that breaks in production.

So maybe the real future is not “AI replacing developers.”

It is developers who know how to code + use AI replacing those who only do one of the two.

What do you think?

Can vibe coding build production-ready apps, or is it still mostly useful for prototypes and demos?

3

Lots of human made systems do not fill those requirements either. Just look Microsoft Dynamics 365 and you will find lots of architectural problems, messy logic and bad UX designing.

4

What counts as being in production? Lots of apps are out that were built using AI. Do they not count or something? What is the standard?

5

Hey Yashas,

I agree with this.

Vibe coding can absolutely help you build faster, and tools like Cursor make that even more powerful.

Cursor is useful because it reduces a lot of the friction in development. You can generate boilerplate, refactor code, debug issues, explain unfamiliar files, build components, and move from idea to prototype much faster.

That is a huge advantage.

But production-ready software still needs engineering judgment.

The real issue is not whether AI can generate code. It can.

The issue is whether the person using it can tell when the code is wrong, messy, insecure, unscalable, or hard to maintain.

For prototypes, Cursor and vibe coding are a massive advantage. You can validate ideas, test flows, build MVPs, and iterate quickly.

But production apps are different.

They need decisions around architecture, database design, authentication, state management, testing, observability, edge cases, performance, and long-term maintainability.

Cursor can assist with all of that, but it still needs someone who understands what good software looks like.

I think the future belongs to developers who can combine both:

The speed of AI-assisted building
and the discipline of real software engineering.

Someone who understands the fundamentals will use Cursor as leverage.

Someone who does not understand the fundamentals may ship something that looks impressive but becomes fragile very quickly.

So I would say vibe coding is great for prototypes and can definitely contribute to production apps, but only when guided by someone who knows how production software actually works.

7

Good topic to discuss. I mostly agree with your point: AI is a multiplier, not a replacement for understanding. If you know architecture and security and you can debug, Cursor can speed you up a lot. If you don’t, you often end up with a nice-looking prototype that falls apart under load.

But I wouldn’t split the world strictly into demo and production. The line is more about process than the tool: code review before merge, tests, solid error handling, and staying in control of what the agent does instead of blindly accepting everything. Vibe coding is great for getting to a working skeleton fast, but getting it to production is about discipline and engineering practices, and the human in the loop is still key.

Also, @Serp made a good point: plenty of human-built systems don’t meet that checklist either. So the question isn’t AI vs human, it’s how well the process around writing code is set up.

If you want to see how the team recommends getting the most out of the agent for serious projects, here’s a useful set of practices: Cloud Agent Best Practices | Cursor Docs

8

Maybe you just want to believe it. I am very skeptical of this being true, especially as the tech progresses. AI assisted coding gets easier every week. For now, you can learn architecture and other supplementary things to coding much faster than actual coding. You need the concepts now and creativity, not coding knowledge. At least, that is the direction of things. I suspect in a few years an elementary kid will be able to make production-ready apps with no training at all. The teachers don’t think they will be replaced either. They think they can just ban the tech from the classroom. Pure delusion. They will be one of the first professions completely replaced and students will finally be freed from the average. Those with problem areas will get the extra attention in those areas they need without slowing down others and those who move faster will be unchained by the absolute boredom of progressing at the rate of the slowest students.