Your vibe-coded app keeps breaking in production? Here's how to fix it
Built your app fast with AI tools and now it breaks every time real users touch it? Here's why it happens and the practical steps to stabilise it without starting over.
By Code Rivals · 5 November 2026 · 6 min read
Key takeaways
- AI coding tools are great for prototypes but often skip error handling, security and tests.
- Most broken apps can be stabilised without a full rewrite.
- Start with monitoring, then fix the most common failures first.
- Add tests and automated deployments so fixes stay fixed.
Why vibe-coded apps break
Building with AI coding tools is fast, and for a prototype that's perfect. The trouble starts when real users arrive. Generated code often works for the 'happy path' but not for slow networks, unusual inputs, many users at once or someone trying to break it on purpose.
- No error handling, so one failed request crashes a whole page
- Secrets and API keys committed to the code or exposed to the browser
- Database queries that are fine with ten users and painfully slow with ten thousand
- No tests, so every fix quietly breaks something else
- Copy-pasted code with several slightly different versions of the same logic
Step 1: See what's actually failing
Before changing anything, add error monitoring and logging so you can see which errors happen, how often and for whom. Guessing wastes time; data shows you the three or four problems causing most of the pain.
Step 2: Close the security holes
Check for exposed API keys, missing access checks and open endpoints. Rotate any key that has been public, move secrets to environment variables, and make sure users can only see their own data. This step protects your customers and your business.
Step 3: Fix the biggest failures first
Work down the list from the monitoring data. Add proper error handling, validate inputs, fix slow queries and remove duplicate code paths. Each fix should come with a test so it can't silently come back.
Step 4: Make releases safe
Most production fires start with a rushed deploy. A safe release process prevents them.
- A staging environment that mirrors production
- Automated tests that run before every deploy
- One-click rollbacks when something goes wrong
- Small, frequent releases instead of big risky ones
Rewrite or rescue?
A full rewrite is rarely the first answer. If the core idea and data model are sound, stabilising the existing app is usually faster and cheaper. A rewrite makes sense only when the foundations are so tangled that every fix costs more than rebuilding that part properly.
Is your app breaking in production? We rescue and stabilise apps every month.
Book a free code review call