When Every Small Change Has a Blast Radius

The first stretch of vibe coding feels absurdly productive. Cursor and Claude Code can generate login, dashboard, settings, and push notifications fast enough that a single founder can get an MVP live in days.

The trouble shows up on the second or third round of changes. A small settings tweak breaks auth. A profile update disrupts notifications. The bugs look unrelated, but the code has no enforced boundaries, so every part of the app can affect every other part.

This is the vibe coding trap. Cursor and Claude Code are incredible at generating working code. They’re not architected to generate maintainable code. When you ask Claude for a settings screen, it generates a settings screen. It doesn’t generate a settings screen that respects your service boundaries, follows your theme contract, and validates its inputs. It fills the prompt. You fill the gap.

Why Vibe Coding Breaks at Scale

When you have ten users, a broken edge case is a DM you can apologize for. When you have a thousand, it’s a churn event. When you have ten thousand, it’s a company-threatening outage. The same codebase that felt magical at the MVP stage becomes terrifying at the growth stage.

Traditional development handles this with code reviews, ADRs, and senior engineers who say “no.” But when you’re shipping with Cursor and Claude Code at 10x speed, you can’t afford a human bottleneck in every verification loop. The bottleneck negates the speed benefit. You need something faster than human review but just as reliable.

Declarative Constraints: The Answer

Guardrails — deterministic, declarative checks that run in milliseconds. They don’t get tired. They don’t lose context. They don’t cost tokens. They’re the architectural immune system for your vibe-coded app:

// These aren't suggestions. They're non-negotiable gates.
// They run on every commit. Human or AI code — doesn't matter.

1. TypeScript strict mode catches interface violations
   - noUncheckedIndexedAccess
   - exactOptionalPropertyTypes

2. ESLint catches architectural violations
   - no className outside primitive seam
   - import from barrels, not implementations

3. dependency-cruiser catches boundary violations
   - Circular dependencies caught at commit time
   - Never reach production

4. Pre-commit hooks run ALL checks before code lands
   pnpm run verify → lint, typecheck, depcruise, test
   If any check fails, the commit is blocked.

The Cost of Skipping Guardrails

Without guardrails, AI-generated code follows a predictable death spiral: generate fast, ship fast, break fast, panic-debug in production, lose users, lose sleep, lose confidence. I’ve seen teams spend entire sprints fixing AI-generated code that a single ESLint rule would have prevented. The time they saved vibe coding in week one, they lost tenfold by week ten.

With guardrails, the lifecycle transforms: generate fast, validate fast, ship safely. Cursor and Claude Code still write the code. The guardrails enforce the boundaries. You get AI speed with architectural safety.

What Production-Ready Guardrails Look Like

In a production-ready React Native architecture, guardrails are part of the foundation:

  • TypeScript strict mode from day one — noUncheckedIndexedAccess, exactOptionalPropertyTypes
  • dependency-cruiser enforces folder boundaries and prevents circular dependencies
  • ESLint blocks className outside the styling primitive seam
  • Pre-commit hooks run the full verification suite on every commit

The result: AI-generated code stays within bounds. Cursor generates components, screens, hooks at full speed. But it cannot violate service boundaries. It cannot leak styling engines. It cannot create circular dependencies. The guardrails say what’s allowed. The AI fills in the gaps.

The Seamless Transition

The Autotomy Expo Starter Pack was built for exactly this transition:

  • Defined service interfaces with barrel exports
  • Composition root for dependency management
  • Semantic UI primitives with a theme contract
  • Hard and optional dependency boundaries
  • Centralized lifecycle management
  • URL validation at route boundaries
  • Deterministic pre-commit guardrails
  • The autotomy pattern for safe refactoring

You don’t stop vibe coding. You vibe code on top of a foundation that scales. Cursor generates screens against your theme contract. Claude Code generates features against your service interfaces. Your pre-commit hooks catch boundary violations before they reach production. Your app grows from ten users to ten thousand without the architectural collapse that kills most AI-coded projects.

Speed is valuable. Structure is what makes speed sustainable. If you’re shipping a React Native app with Cursor and Claude Code, invest in guardrails before you need them. They’re cheaper than refactoring, and they pay for themselves the first time they catch a breaking change at commit time instead of in your user’s hands.