What Did AI Really Build For You?
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Surface scan complete. 5 issues found.
These are just the surface issues. The real problems are in your code.
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The AI Code Time Bombs in Your Codebase
Every one of these is costing you money, users, and sleep.
Gaping Security Holes
AI tools don't understand security context. We regularly find SQL injection vulnerabilities, hardcoded API keys, and missing authentication that a junior dev would catch.
// Found in production AI code:
app.get('/user/:id', (req, res) => {
db.query(`SELECT * FROM users WHERE id = ${req.params.id}`);
// 👆 SQL injection waiting to happen
}); Performance Nightmares
AI generates code that 'works' but runs like molasses. N+1 queries, synchronous operations blocking the event loop, no caching strategy. Your app dies at 100 concurrent users.
// Actual AI-generated disaster:
for (let user of users) {
user.posts = await fetchPosts(user.id);
// 1000 users = 1000 database calls 🤦
} Zero Error Handling
AI assumes happy paths. When things break (and they will), your app crashes hard with no recovery, no logging, no graceful degradation. Users see white screens and cryptic errors.
// AI's idea of error handling:
try {
// 500 lines of code
} catch (e) {
console.log("error");
// That's it. App dies.
} Hallucinated Logic
AI invents functions that don't exist, implements business logic backwards, and creates race conditions that only appear under load. It's confident, verbose, and completely wrong.
// AI hallucination in production:
if (user.isPremium()) { // This method doesn't exist
await chargeCard(user.creditCard); // Neither does this
// AI just made up an entire payment flow
} Massive Tech Debt
No tests, no documentation, inconsistent patterns, copy-pasted code everywhere. Adding features becomes impossible. Your devs are scared to touch anything.
// File: utils.js (8,743 lines)
function doThing() { /* 847 lines */ }
function doThing2() { /* identical code */ }
function doThingFinal() { /* also identical */ }
// AI doesn't understand DRY Can't Scale
Works fine with 10 users. Dies at 100. AI doesn't understand distributed systems, caching, queues, or any scaling patterns. Your success becomes your failure.
// AI's scaling strategy:
global.appState = {}; // Stored in memory
// RIP when you need multiple servers
process.on('SIGTERM', () => {
// AI forgot graceful shutdown
}); How It Works
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See What's Broken
Get an instant report of surface issues. But the real problems? They're hiding in your code.
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Connect your repo for a deep-dive. Architecture, security vulnerabilities, performance bottlenecks, dependency hell — the full picture.
Sound Familiar?
You're not alone. These are real stories from the AI code warzone.
"My Cursor-built app works locally but crashes on deploy"
Works on my machine syndrome, AI edition. No build config, no environment handling, no deployment strategy.
Scan your site →"ChatGPT gave me an auth system with hardcoded passwords"
AI doesn't understand security context. Hardcoded secrets, SQL injection, missing auth — we see it every day.
Scan your site →"My AI wrote 8,000 lines in one file with no error handling"
One massive file. No modules. No error boundaries. One bug crashes everything.
Scan your site →"Bolt.new app dies at 50 concurrent users"
N+1 queries, no caching, synchronous everything. AI code that 'works' but can't scale.
Scan your site →"I asked Claude to add a feature and it rewrote my entire codebase"
No version control strategy, no modular architecture. Every change is a full rewrite risk.
Scan your site →"My Lovable app has no tests and I'm terrified to change anything"
Zero test coverage. Zero documentation. You're flying blind and one wrong move breaks everything.
Scan your site →Ready for the Full Diagnosis?
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