What You'll Learn
We love vibe coding. We built this entire site with it. But we'd be lying if we said it works for everything. This guide is the one nobody wants to write — the honest limits of building with AI.
What Vibe Coding Is Genuinely Great For
These are the sweet spots — the types of projects where vibe coding shines and saves you real time and money.
MVPs and prototypes. You have an idea and want to test it fast. Vibe coding can get you a working prototype in a day instead of a month. Show it to users, get feedback, iterate.
Landing pages and marketing sites. Hero sections, feature grids, pricing tables, contact forms. These are well-understood patterns that AI handles reliably.
Internal tools. Dashboards, admin panels, data entry forms. Nobody cares if they're pixel-perfect — they just need to work.
Portfolio sites and personal projects. Low stakes, high creativity. Perfect for learning.
Simple SaaS products. User auth, a few CRUD pages, a settings screen, Stripe checkout. If your app fits in 10-15 database tables, you're in the zone.
Games and fun projects. Wordle clones, trivia apps, card games. AI tools are surprisingly good at these because the logic is well-defined.
What It's Terrible For
This list isn't meant to discourage you. It's meant to save you weeks of frustration.
Complex authentication (SAML, SSO, SCIM). Enterprise auth has dozens of edge cases. AI tools generate the happy path and miss everything else. You'll spend more time debugging than building.
Real-time collaborative editing. Think Google Docs or Figma. The conflict resolution, operational transforms, and WebSocket management required are beyond what prompt-driven development can handle reliably.
Payment edge cases. Basic Stripe checkout? Fine. Refunds, disputes, metered billing, prorating, tax calculation, multi-currency? Each one is a rabbit hole that AI doesn't navigate well.
Apps with 50+ database tables. At this scale, the relationships between tables create complexity that AI tools can't hold in context. Migrations become nightmares.
Strict compliance requirements. HIPAA, SOC2, PCI-DSS, GDPR with proper audit trails. These require systematic, verifiable security practices — not "the AI probably handled it."
Native mobile apps. React Native and Flutter with AI is possible but painful. The debugging cycle is slow, platform-specific bugs are hard to describe in prompts, and the build tooling is fragile.
High-performance backends. If you need sub-10ms response times, custom caching layers, or optimized database queries at scale, you need someone who understands performance engineering.
The Complexity Wall
Every vibe-coded app hits a point where adding a new feature creates more bugs than it fixes. We call this the complexity wall.
It usually happens around 15-20 prompts deep. The AI starts losing track of what exists in the codebase. It duplicates things, breaks existing features, or introduces subtle bugs you don't notice until later.
Signs you're hitting the wall:
Warning: The wall isn't a bug — it's a fundamental limit. AI tools have a context window. Once your project exceeds it, the AI is working with an incomplete picture of your codebase.
Signs You Need a Real Developer
Be honest with yourself about these signals:
1. You're spending more time debugging than building. If every prompt creates a new problem, the AI is working against you, not for you.
2. You keep hitting the same bug in circles. You fix it, it comes back. You fix it differently, something else breaks. This means the architecture needs a human who can reason about the whole system.
3. Users are finding bugs you can't reproduce. This usually means there are race conditions, state management issues, or edge cases that require systematic debugging — not more prompts.
4. Security or compliance is on the line. If a breach would cause legal or financial damage, get a professional review at minimum.
5. You need it to scale. 100 users? Vibe coding is fine. 10,000 users? You need someone who understands database indexing, caching, and load balancing.
How to Get the Most Out of Vibe Coding Before the Wall
You can push the wall further out with good practices.
Start simpler than you think. Your first version should embarrass you a little. If it doesn't, you built too much.
Validate before you build more. Share your MVP with 5 real people. If nobody cares, no amount of features will save it. If people love it, then invest in building more.
Use the right tool for the job. Cursor for code-savvy builders. Lovable for no-code simplicity. Bolt for quick experiments. Don't force one tool to do everything.
Know when to stop. The hardest skill in vibe coding is recognizing when you've gotten the value out of AI tools and it's time to either ship what you have or bring in a developer for the next phase.
The honest truth: Vibe coding can get you 80% of the way for 20% of the cost. For many projects, that's enough. For some, it's not. Know which one you're building.
Built by Us
This guide is based on real builds. gptsters.com is built with vibe coding — see for yourself.