🚢 Launch Price — 35% Off

Stop AI from writing code that breaks next month

Production-grade rules files for Cursor and Claude Code. Drop them in your project — your AI follows real architecture patterns instead of making it up.

Get ShipKit — $19 See what's inside ↓

$29 → $19 launch price

Your AI code works today. It won't in 3 months.

AI writes code that runs. But it doesn't think about what happens when your app needs to change, scale, or survive a security audit.

📦

God Files

500+ line files that handle routes, database calls, business logic, and auth. One wrong edit breaks everything.

🗃️

Database Calls Everywhere

Prisma imported in 47 different files. Need to add caching? Good luck finding them all.

🔇

Silent Errors

catch (e) { console.log(e) } — error swallowed, user sees a blank screen, you see nothing in production.

💥

No Pagination

findMany() with no limit. Works with 10 test users. Crashes with 10,000 real ones.

🔑

Hardcoded Secrets

API keys right in the source code. Pushed to GitHub. Compromised within minutes.

🔓

Missing Auth Checks

AI builds the happy path. It skips the middleware that checks if the user is actually allowed to be there.

What's in ShipKit

4 complete stack configurations, each with a .cursorrules file and a CLAUDE.md project file.

⚡

Next.js + TypeScript + Tailwind

The most common vibe-coded stack. Server Components, App Router, the works.

🐍

Python + FastAPI + PostgreSQL

API and backend projects. Async patterns, SQLAlchemy, proper error handling.

🟢

React + Node.js + Express

Full-stack JavaScript. REST API patterns, middleware chains, state management.

🌐

Universal

Language-agnostic architecture rules. Works with any stack or language.

✓

.cursorrules for each stack

Cursor reads these automatically — zero config

✓

CLAUDE.md for each stack

Claude Code project files with full architecture context

✓

Architecture Guide

Plain-English breakdown of the 5 biggest AI code mistakes

✓

Anti-pattern examples

Every rule shows what AI does wrong and the correct fix

Not generic "best practices"

Every rule targets a specific AI anti-pattern with the exact fix.

    ## Example from .cursorrules

    RULE: No database calls outside the data layer

    WHY: AI imports Prisma/Drizzle directly in route handlers.

         When you need caching, logging, or a different DB, you're

         rewriting every route instead of one repository file.

    BAD:  app.get('/users', async (req, res) => {

            const users = await prisma.user.findMany()

          })

    GOOD: app.get('/users', async (req, res) => {

            const users = await userRepository.findAll()

          })

    // Change your database? Edit one file. Not forty-seven.

3 steps. 30 seconds.

No dependencies. No build step. Just files.

Pick your stack

Choose from Next.js, Python, React/Node, or Universal.

Copy to project root

Drop .cursorrules and CLAUDE.md into your repo.

Code with AI

Guardrails apply automatically. No config needed.

Questions

What tools does this work with?

Cursor, Claude Code (claude.ai projects & CLI), and any AI coding tool that reads .cursorrules or project-level config files. The rules are plain text — they work everywhere.

I already have .cursorrules — why do I need this?

Most cursorrules files are generic ("use TypeScript", "follow best practices"). ShipKit targets specific architectural anti-patterns that AI creates — with the exact mistake, why it breaks, and the correct fix. It's the difference between "eat healthy" and an actual meal plan.

Will this slow down my AI?

No. Rules files add context, not latency. Your AI reads them once per session. If anything, it speeds you up — fewer rewrites, fewer bugs, less time debugging architecture problems later.

Can I customize the rules?

Absolutely. They're plain markdown and text files. Add rules, remove ones that don't apply, adjust to your codebase. That's the whole point — they're yours to own.

What if I use a stack that's not listed?

The Universal config works with any language or framework. The architecture principles (separation of concerns, data layer boundaries, error handling) apply everywhere.