Vibecoding Mistakes to Avoid: What It Can't Do (Yet)
- Klaude Furlong
- Jul 12
- 7 min read
Updated: Jul 13
Vibecoding genuinely works. That's not hype, there are real apps built by real non-technical people running in production right now. But it works within specific boundaries, and stepping outside those boundaries produces results that range from frustrating to genuinely problematic.
This article covers the most common vibecoding mistakes and the honest limits of what the technology can do right now. Knowing these upfront saves you time, money, and the particular frustration of a build that goes sideways in the third hour.
The most common vibecoding mistakes are: trying to build too much too fast, not testing what gets built, relying on it for security-sensitive applications without a review, expecting it to replace all decision-making, and abandoning a build when the first version isn't perfect. Knowing these patterns in advance means you can avoid most of them.
Here's what we'll be covering in today's article:
Vibecoding Mistake 1: Starting With a Project That's Too Complex
The most common first mistake is trying to build the full version of an idea before you understand the feedback loop. You have a vision for a sophisticated app with multiple screens, user accounts, complex logic, and integrations with other services. You describe all of it in your first prompt. What comes back doesn't match the vision. The iteration goes sideways. You conclude vibecoding doesn't work.
The problem isn't vibecoding. The problem is that you skipped the part where you learn how to communicate with it. Every skilled vibecoder starts small: one screen, one function, one feedback loop. They build confidence in the process before they tackle complexity.
The minimum viable first build
Your first vibecoding project should do exactly one thing. Track one type of item. Display one kind of view. Accept one type of input. When that works and you've experienced a full iteration cycle, you've earned the right to add complexity. Before that, you're guessing at a process you haven't yet experienced.
I started My SubsTracker Vault with just the subscription list, one screen, four fields, a sort order. The course-tracking feature and the notification system came later, after the core was solid. That sequencing is what makes a build manageable.
Mistake 2: Not Testing as You Build
Vibecoding tools build fast. The temptation is to keep adding features without stopping to verify that each addition actually works. This creates a compounding problem: the more unverified changes you stack, the harder it is to identify which one introduced a bug.
Test after every change. Not an exhaustive test, just check that the specific thing you asked for works and that the things that were working before still work. This discipline adds maybe five minutes per iteration round. It saves hours of debugging when something breaks.
What to test and when
After each iteration, check three things:
1) Does the new feature work as described.
2) Does the main function still work.
3) Does the app load without errors.
If any of those fail, revert the change before making the next one. Vibecoding tools have version history, use it. Don't layer changes on top of a broken state.
For prompting strategies that produce more reliable results from the start, read How to Write Vibecoding Prompts That Actually Work.
Mistake 3: Using It for the Wrong Type of Application
Vibecoding is the right tool for internal tools, personal productivity apps, simple client-facing forms, and prototypes. It's the wrong tool for payment-processing systems, healthcare applications that touch protected data, applications that need to serve thousands of concurrent users, or anything where a security failure would expose you to serious legal or financial risk.
This isn't a criticism of vibecoding's capabilities, it's a recognition of what the non-technical builder can actually verify. When you build with vibecoding, you can see whether the app does what you intended. You can't easily audit whether the underlying code is secure against sophisticated attacks. That gap matters more in some applications than others.
The security question specifically
If your app collects personal data from users, even something as simple as names and email addresses, think carefully about where that data is stored and whether your Lovable or Bolt.new project settings reflect your privacy obligations. The tools handle basic security reasonably well, but you as the builder are responsible for understanding what's being stored and how. Lovable's own documentation states that the security of the app you are building lies on the developer's shoulders. They don't want that liability resting at their feet.
If you're unsure whether your intended use case is appropriate for vibecoding from a security standpoint, ask the AI tool directly: 'What are the security considerations for an app that stores [your data type]?' The answer will tell you whether you need a developer's involvement before going live.
For a clear breakdown of when traditional development is the right call instead, read Vibecoding vs. Traditional Coding: What's the Difference and Does It Matter?.
What Vibecoding Genuinely Can't Do Yet
Beyond the mistakes that are avoidable, there are genuine current limitations. Being clear-eyed about these helps you plan better and avoid disappointment when you hit them.
Complex business logic
Vibecoding handles straightforward logic well, if this field is empty, show an error; if this date is past, change the color. It struggles with complex conditional logic that has many interdependencies. Multi-step workflows with branching rules, complex tax calculations, or logic that varies significantly by user type are all significantly harder to get right through conversation alone.
Reliable integrations with complex APIs
Connecting to simple APIs works. Connecting to complex third-party systems, payment processors beyond basic Stripe, ERP systems, custom-built back-ends, is unreliable in vibecoding. The AI can write the integration code, but debugging it when the other system behaves unexpectedly requires technical knowledge to diagnose.
Long-term maintenance without developer support
A vibecoded app is easy to change while you're actively building it. Once you step away for months and come back to make a change, you may find that the AI's context about how the app was built is gone. Significant modifications after a long gap can be harder than building from scratch. This isn't a dealbreaker, but it's a real consideration for apps you plan to maintain for years. Make sure you document everything you create and export your code to something like Github to keep track of the iterations.
Precise visual design
Vibecoding tools produce clean, functional interfaces. They don't produce pixel-perfect branded experiences. If you need your app to precisely match a brand style guide with specific typography, exact color values, and consistent spacing down to the pixel, you'll need design work that vibecoding alone can't deliver.
How to Recover When a Build Goes Wrong
Even experienced vibecoders hit walls. A build that seemed simple turns into a tangle of revisions that each introduce new problems. When this happens, the right move almost always is to start fresh rather than continue fixing.
Starting fresh isn't failure, it's strategy. You now know exactly what you're building, what the first version should look like, and what the common failure points are. Your second attempt will be faster than your first because you've already worked through the thinking once.
When to start fresh vs. when to keep iterating
Keep iterating when: the core function works and you're refining details. Start fresh when: the core function is broken and three attempts to fix it haven't helped, the revision history is so cluttered that you've lost track of what each change did, or the app has drifted so far from your original intent that starting clean would be faster.
The Six Sigma discipline I bring to everything says the same thing: if you can't identify the root cause of a defect within three diagnostic cycles, you need to reframe the problem, not keep applying the same fix. Vibecoding responds to the same logic. When iteration stops producing progress, starting over usually is.
For a complete guide to the vibecoding process from first prompt to working app, see What Is Vibecoding? The Complete Guide for Non-Technical Professionals.
Frequently Asked Questions
What do I do if the AI keeps misunderstanding what I want?
Try starting a fresh conversation. Long conversations sometimes build up context that steers the AI in the wrong direction. A fresh start with a cleaner, more precise description of the outcome often produces better results than continuing to revise in a cluttered thread.
Also try describing the problem from the user's perspective rather than the system's. Instead of describing what the code should do, describe what the user should experience. That shift removes a layer of interpretation that often causes misunderstandings.
Is it normal to feel frustrated during a vibecoding build?
Yes. Every builder, including experienced developers, hits friction points where the thing they're trying to do doesn't work the way they expected. The difference with vibecoding is that the feedback loop is fast enough that you can work through frustration and reach a result within the same session.
The hardest part of the first build is the moment before you've seen the feedback loop work. After your first successful iteration, the process feels much more manageable because you have proof it works.
Can vibecoding produce an app that breaks my data?
In rare cases, a revision can change how data is stored in a way that corrupts existing records. This is most likely to happen when you make significant structural changes to a database after data already exists in it. Test any structural change on a small set of test data before applying it to real data.
Most vibecoding tools let you export or back up your data. If your app is storing anything important, set up a regular export so you always have a clean copy outside the app.
Every tool has limits. Knowing vibecoding's honestly means you can use it well and know when to call in different support. That awareness is what separates builders who ship from builders who stall.
For everything you need to understand about the vibecoding process, start with the this guide: What Is Vibecoding? The Complete Guide for Non-Technical Professionals.
If you're ready to see where AI could give you the biggest advantage, click the image below and book your first AI Clarity call. You'll walk away with a ton of value of where to start implementing AI in your life & business to get the biggest returns.
