
Why Your AI-Built App Will Fail in Production
AI coding tools are incredible at building prototypes. They're terrible at building production software. Here's why, with real failure modes and what to do about it.
Practical guides on shipping AI-built apps. From prototype to production, we cover the last mile.

AI coding tools are incredible at building prototypes. They're terrible at building production software. Here's why, with real failure modes and what to do about it.

Bolt.new gets you from idea to working app in minutes. But the generated code has consistent patterns that break in production. Here are 7 specific issues with code-level fixes.

You built it with Cursor. It works locally. But is it ready for real users? This comprehensive pre-launch checklist covers security, testing, error handling, deploy config, and everything else Cursor won't remind you about.

Your Lovable app works in preview. But preview isn't production. Here's the step-by-step guide to deploying your Lovable app with proper security, environment config, and monitoring.

Lovable builds beautiful apps fast. But a May 2025 audit found 10% of Lovable apps had security vulnerabilities exposing user data. Here are the 10 most common issues and how to fix each one.

We analyzed 100 repos built with Cursor, Lovable, Bolt, and v0. The results reveal a consistent pattern: AI tools build fast but leave critical gaps. Here's the data.

v0 generates beautiful UI components with Tailwind and shadcn. But UI isn't an app. Here's what v0 gets right, what it misses, and how to take v0 output to production.

Built your app with vibes? Here's the universal pre-launch checklist that covers security, testing, error handling, deploy config, performance, SEO, and monitoring. Tool-agnostic. No fluff.

92% of developers use AI coding tools daily. 41% of all code is now AI-generated. Here's what the data actually tells us about quality, security, and the gaps that remain.

You built something amazing with Cursor, Bolt, or Lovable. But shipping it? That's a different challenge entirely. Here's the practical guide to closing the last-mile gap.

A prioritized, category-by-category checklist for taking your AI-built app from 'it works' to 'it's ready.' P0 items are ship blockers. P1 items fix within a week. P2 before scaling.

Vibe coding (building software by feel with AI tools) is how millions of developers work now. Here's how to keep the speed without shipping the risk.

Cursor hit $1B ARR. Lovable reached a $6.6B valuation. Bolt crossed 5M users. But all three leave critical gaps. Here's an honest comparison and what to do about it.

The gap between npm run dev and a production deploy is where most AI-built apps die. Here's the step-by-step guide to actually getting your Next.js app live and reliable.

AI tools generate code but never generate tests. Here's the practical, minimum-effort testing strategy that catches the bugs that matter before your users find them.

AI coding tools produce code with 1.88x more password vulnerabilities and 2.74x more XSS flaws. Here are the five most common security failures and how to catch them before your users do.

Supabase is the default backend for AI-built apps. Without proper RLS policies, your users' data is one API call away from exposure. Here's how to lock it down.

AI tools generate the happy path. Production is the unhappy path. Here are six error handling patterns that AI consistently skips, and the code to fix each one.

We ran FinishKit on five real AI-built apps, from a Cursor SaaS to a Lovable marketplace to a Bolt landing page. Here's every finding, ranked by severity.