I tried to vibe-code my way to a SaaS… and failed
Last summer, the idea for my SaaS, Xolora, started to take shape. Around the same time, the concept of vibe coding was blowing up. As a non-technical founder, it sounded like a dream come true. No coding experience? No problem, just let AI handle it.
The beginning was incredibly promising. Using Emergent made me feel unstoppable. I was seeing my idea come to life.
But then, reality hit.
The moment the architecture required deeper complexity the magic completely faded. I stopped building and started drowning. I spent days stuck in endless debugging loops, trying to explain to an AI errors that I didn’t even understand myself. I was burning precious time, and honestly, the Vercel deployments and GitHub conflicts became a nightmare. The vibe-coded version was far from a real, stable product. In fact, it was embarrassing.
It was a tough pill to swallow, but it made me realize that AI is a powerful assistant, but it doesn’t replace structural software engineering when you're building a scalable product.
Instead of giving up, I decided to pivot my approach. I teamed up with a professional developer. Now, we are rebuilding Xolora properly to actually deliver the value that solopreneurs and small business owners need, without the fragile vibe-code foundation.
For the other non-technical founders here: Have you managed to launch a complex SaaS purely on vibe-coding, or did you hit the same wall? At what point did AI stop being enough for you?
Replies
I had same issue, did you try fixing bugs step by step?
@tessa_lynch Yes. But I hated it. And the vibe-coding tool I used didn't seem to listen to me. Like the bug was fixed and the next day, the tool was writing some random line of code, so the bug was there again. I got really tired of it.
Sounds real, what made you finally add a developer?
@sanjau_sanjay Talking to a friend (who's also seriously interested in my tool) who sees the potential of my tool/idea. He looked at my vibe-coded version and was very honest with me. It was a pretty bad version of Xolora, but he also said that the tool could be great and valuable. That made me think bigger again. Then I realized I needed to get someone onboard, who knows how to code. And I am very happy with my developer. We're a good team from day one.
Serand
This is probably one of the most honest descriptions of vibe coding I’ve read so far 😅 The first 70% feels magical… the last 30% becomes architectural survival.
@maali_baali Yes. I think vibe-coding only works when you know how to code. But if you're a non-techie it quickly becomes a nightmare. I feel so much more confident now about my SaaS as I have a good developer by my side.
I am a developer myself and I was building some pet projects using pure vibe-coding (as a proof of concept) and I can say that while the LLMs are able to do a great job in writing the code, they are still not able to do this perfectly (unsurprisingly, right? :) ) - so I don't think that launching a full-fledged product using exclusively vibecoding is possible nowadays (not saying that it won't be possible in, let's say, 5 years)
@sk_uxpin But for you the debugging it easier than it is for me. You know what to do. I don't. So I think for vibe-coding you need at least a little bit of coding knowledge.
Also my developer said that AI sometimes comes up with imaginery code. It makes up its own thing. And that was harder to debug. I wouldn't even know.
Let the experts do the work and get good results.
But maybe in 5 years vibe-coding will be better.
@mona_kohlhaas can't agree more - that's exactly what I meant
Oui, completely agree with you here - especially on the vibe-coding bit. The issue is not the model per se, but the lack of clarity in the instructions and requirements.
I always make sure I have a good idea of what's happening on the infra stack before giving Claude the OK to kick things into gear. What also helped me loads are detailed spec.mds and requirement docs - if they can keep going back to the source of truth, your you chances are exponentially higher.
@yulesenmiao The thing is that without any technical knowledge it's hard to understand what is happening on the infra stack. Without that knowledge you probably don't know what spec.mds are. Vibe-coding requires at least a little bit of coding knowledge.
This is one of the most honest posts I've read here in a while. The "first 70% feels magical, last 30% is survival" comment in the replies nails it perfectly. I had a very similar experience building an internal tool. Everything worked great until I needed proper auth, error handling, and rate limiting. The AI-generated scaffolding just started cracking under real conditions.
The decision to bring in a real developer instead of giving up was the right call. I think the sweet spot for non-technical founders is using vibe coding to validate the idea fast, then rebuilding properly once you know people actually want it. Using it to ship a production SaaS from scratch is a different game entirely and most people figure that out the hard way
@nolan_vu I feel that the hype around vibe-coding leads to false expectations for non-technical founders. And I fell for that hype. I really thought I could get a production-ready SaaS from it. But boy, was I wrong. It can get you a prototype. But for the real deal you should get a professional.
@mona_kohlhaas I agreed, a professional can minimize the risks of doing wrong at first, but hiring them can cost you and I more than our budget. So try to consider it as the optional choice
Premarket Bell
I think vibe coding works best for validation and prototypes, not long-term maintainability. The moment scale, auth, infra or edge cases appear, complexity compounds fast.
@daniel_henry4 Indeed. My developer said the same. He said that vibe-coded apps are not made for scaling. And that if 100 users were using it at the same time it would break.
I think it's always best to give expert work to the expert. Lesson learned.
really feel for you on this one, the day-2 problem with vibe-coded apps is real and i think a lot of us have hit some version of it.
something that's worked for me might be useful here. I'm also solo, launched a film discovery tool called Perfery (perfery.com) a few weeks ago. Almost all the code in the repo was written by Claude Code, not me. But i wrote the 75-register taxonomy of how films feel by hand (warm hug, melancholy beauty, neon nights, anxious dread, etc.). I wrote six algorithm principles the ranker has to follow. I wrote the architecture decisions. Then i had Haiku classify 42K films against the taxonomy in a single batched pass.
So the split that's been working for me is AI as executor, not AI as architect. Claude writes the code, i hold the line on what the product actually is. When it tries to freelance i catch it and tell it to revert.
Sounds like that's basically what your developer is going to do for you on v2, which is a really solid call. Good luck with the rebuild, rooting for you.
@mattstpeter Thank you so much! Having a developer on board takes away a lot of my frustration and I can fully focus on the marketing/getting beta testers.
Whenever I told AI to revert, it ended up working in circles and I just really didn't enjoy it. My tool is going to be a SaaS which needs to be scalable, robust and GDPR compliant as I'm living in the EU. And I think vibe-coding could not have achieved all of these standards.
But I am impressed that you launched a vibe-coded product. I hope the launch went well. :)
@mattstpeter I am having a similar experience using Claude to write the code. I am educated as a building architect, with no background in software, but building an app is a bit like designing anything. A strong vision is necessary to keep on track, and every design decision along with way needs to adhere to the main goal. I felt that I had a strong vision, so I was able to tell Claude what I wanted. Haven't launched yet, but I am using my app and it is working well for me.
Vibe coding gets you to a working prototype fast — the trap is mistaking "it runs" for "it's ready." I hit the same wall. The moment I needed real auth, rate limiting, streaming AI responses, the AI-generated scaffolding started cracking. Had to rebuild core parts from scratch anyway. The lesson: use it to explore, not to ship.
@mpanpalli I agree. AI isn't at the point yet where it can create a software that is really ready.
@mona_kohlhaas Exactly, and the gap shows most in edge cases. Auth flows, error handling, rate limits. The parts users rarely see but break everything when they fail.
This resonates a lot.
With technical background and mindset, I spent ~15 years mostly on the founder/management side, touching code only occasionally for scripts and small automations. Then AI happened — and suddenly I’m back to vibe coding again.
What I see now is that many non-technical founders genuinely believe they can vibe-code a real SaaS in a weekend. As someone who has been on both sides — developer and entrepreneur — I think this hype seriously distorts expectations.
AI is amazing for prototyping and acceleration. But architecture, debugging, scalability, and maintainability are still real engineering problems. AI amplifies capability — it doesn’t replace engineering thinking.
The idea of “I’ll build a production SaaS in one day with AI” feels a bit utopian to me. Great for demos. Much harder once real users and real complexity arrive.
@ilya_makarov2 I agree that the hype around vibe-coding distorts expectations/reality. AI can get you a prototype but not a tool that is market-ready.