Prompt Library

A structured prompt that gets an AI to scaffold a production-ready Next.js project with TypeScript, Tailwind, and a sensible folder structure.

A template for pasting error messages into an AI and getting a useful diagnosis instead of a generic explanation.

A battle-tested AI config for Cursor, Windsurf, or any agent that reads project rules. Sets coding standards, forbidden patterns, and response format.

Generate a project context file that AI coding agents read automatically, so every interaction starts with full awareness of your codebase.

Ask the AI to review your code like a senior engineer, catching bugs, security issues, and missed edge cases.

A prompt that produces a clean, validated API route with proper error handling, not a toy example.

Scaffold any greenfield project with a production-grade folder structure, config files, and type-safe foundations. Paste this at the start of every new build.

Turn a vague idea into a clear specification that produces first-try results from any AI coding tool.

Set up user authentication with sign-up, sign-in, session management, and protected routes in one structured prompt.

A prompt for getting production-quality React components with proper props, accessibility, and dark mode support.

Add subscription payments with checkout, webhooks, and billing management using Stripe, Polar, or Lemon Squeezy.

Turn your app requirements into a normalized database schema with proper relations, indexes, and constraints.

Turn a desktop-only layout into a mobile-friendly page with proper breakpoints and touch-friendly interactions.

Generate comprehensive unit tests that cover happy paths, edge cases, and error scenarios for any function.

Systematically diagnose and fix build failures by giving the AI your build output, recent changes, and package versions.

A 5-phase debugging workflow that prevents the AI from jumping to conclusions. Forces systematic diagnosis before any code changes.

A comprehensive pre-launch security review covering auth, data, APIs, dependencies, and infrastructure.

When your prompt produces garbage, use this meta-prompt to diagnose why and generate a better version.

Get a complete form with client-side validation, error messages, loading states, and accessible markup.

Get a comprehensive .gitignore tailored to your exact tech stack, so secrets and build artifacts never touch version control.

Set up a production deployment on Vercel with environment variables, custom domain, and build configuration.

Diagnose and fix those cryptic Cross-Origin Resource Sharing errors.

Get a thorough code review before merging. Checks correctness, security, performance, and readability — no padding, no fake compliments.

Diagnose and fix slow queries by providing the AI with the query, schema context, and EXPLAIN output.

Check your project for accidentally committed secrets, exposed API keys, and misconfigured environment variables.

Build a robust webhook handler with signature verification, idempotency, and proper error handling.

Split a complex feature into small, independently promptable pieces that build on each other.

Generate conversion-focused landing page copy with a hero, features, social proof, and CTA sections.

Diagnose why your app works locally but fails in production, covering environment differences and build issues.

Clean up AI-generated code to match your project's patterns, remove redundancy, and improve maintainability.