Not Just a Boilerplate

Most boilerplates give you starter code. You still do all the work.

AI App Factory gives you starter code + 11 AI agents that know the codebase and can build on top of it. The boilerplate is the foundation. The agents are the workforce.

How It Actually Works

You describe what you want. The agents coordinate:

1. Autopilot receives your task
2. Architect designs the schema, API surface, and screen layout
3. Executor writes the database migration, NestJS endpoint, and React Native screen
4. QA Tester validates types, logic, and structure
5. Security Reviewer scans for OWASP issues
6. Build Fixer resolves any compilation errors
7. Architect verifies the final result

All of this happens locally, on your machine, inside Claude Code.

Real Example: Adding a Feature

I asked the agents to add a "favorites" feature to a restaurant app. Here's what happened:

• 2 minutes: Architect designed the favorites table with RLS policy, REST endpoint, and UI component
• 8 minutes: Executor wrote the Supabase migration, NestJS service + controller, and React Native screen with toggle button
• 3 minutes: QA validated types and tested the API flow
• 1 minute: Build Fixer resolved a TypeScript strict mode issue
• Total: 14 minutes. Manual time: 0.

Same feature manually would take 2-3 hours.

What the Agents Do Well

• CRUD screens, forms, lists, data tables
• Database migrations and RLS policies
• REST API endpoints with validation
• Auth flows and session management
• App Store submission automation
• Bug fixes — describe the bug, the agents fix it

What Still Needs a Human

I'm honest about this:

• Complex animations and gesture interactions
• Pixel-perfect custom design
• Business logic with nuanced domain rules
• Performance tuning for specific bottlenecks

The agents handle the 70% that's infrastructure. You handle the 30% that's product.

The Key Insight

AI agents work best when the codebase has predictable structure. That's why AI App Factory uses Feature Sliced Design (FSD) with NestJS's module pattern. The agents know where things go because the architecture tells them.

Random Express projects? Agents struggle. Opinionated architecture? Agents thrive.

Related

• Claude Code AI Agents — detailed agent breakdown
• Full-Stack Monorepo — the codebase structure
• React Native Setup Time — the problem this solves