What tech stack problems do AI coding tools commonly create?

AI coding tools commonly produce outdated dependencies, framework version mismatches, incompatible package versions, and missing production configuration files.

How do I know if my AI-generated app will scale?

Check this analyzer for scaling limitations including database connection pooling, caching strategy, CDN configuration, and horizontal scaling compatibility.

Is this tech stack analyzer free?

Yes. The AI App Tech Stack Analyzer is completely free with no signup required.

Free Tool — AI Dev Tools

AI App Tech StackAnalyzer

Select your tech stack and get compatibility warnings, vulnerability notes, and service recommendations tailored to your setup. Free and instant.

Frontend Framework

Backend / Runtime

Database (select all that apply)

Hosting / Deployment

Auth Provider

Payment Provider

Platform Focus (select all that apply)

How to Analyze Your AI-Generated App's Tech Stack

1List your frontend framework and version — specify the exact framework and version your AI tool generated (e.g., React 18.2, Next.js 14.1, Vue 3.3, SvelteKit 2). Version matters: AI tools often generate code for older LTS versions even when newer stable versions are available.

2Add backend language and framework — enter your backend stack (e.g., Node.js 20 / Express 4, Python 3.11 / FastAPI 0.104, Ruby 3.2 / Rails 7). Include your hosting platform (Vercel, Railway, Fly.io, AWS) as platform-specific compatibility issues are common in AI-generated deployment configs.

3Specify database and ORM — enter your database engine (PostgreSQL, MySQL, MongoDB, SQLite) and the ORM or query layer your AI generated (Prisma, Drizzle, Sequelize, Mongoose). Mismatches between ORM version and database driver are one of the most common silent breakages in AI-built apps.

4List third-party integrations and APIs — include all external services your app depends on: payment providers (Stripe, PayPal), authentication (Auth0, Clerk, NextAuth), email (Resend, SendGrid), AI APIs (OpenAI, Anthropic), and any webhooks or real-time services (Pusher, Supabase Realtime).

5Get your compatibility analysis — receive a breakdown of version compatibility issues, scaling limitations (e.g., SQLite won't scale past ~50 concurrent users), known vulnerabilities in your dependency versions, and recommended upgrades or replacements specific to your stack combination.