AppFactory

App Factory is an AI-native software factory that empowers ambitious small teams to build enterprise-grade applications. Combining Domain-Driven Design (DDD), GraphQL, reusable architecture, intelligent agents, and code generation, it transforms lean teams into high-performance software organizations capable of delivering production-ready business applications at scale.

AppFactory is based on the WebApp project, which is a basic template for generating web applications with integrated AI.

Contents

• Highlights
• Architecture
• Quick start
• Development commands
• Documentation
• Security note
• License

Highlights

Declarative core

• Declarative Kanban, list, form, and calendar views
• Reusable field components, relationships, avatars, and localized labels
• Insights dashboards: KPIs, gauges, and charts from declarative definitions

Search

• Natural-language global search: an AI interpreter turns questions into validated, typed search plans, with automatic fallback to plain text when no provider is configured
• PostgreSQL full-text search (tsvector/ts_rank) and trigram (pg_trgm) indexes, tuned to stay fast at 100,000+ records per model
• Contextual, in-app help for the search bar

Security and accounts

• Access/refresh token session renewal with rotation and reuse detection
• Step-up re-authentication (password/MFA) for critical operations
• Session activity tracking and read-only user log reporting

Platform

• In-app and browser push notifications
• Read-only MCP reports for authorized users
• Attachment storage with authenticated previews
• FastAPI, GraphQL, SQLModel, PostgreSQL, and Alembic
• Preact, Signals, Tailwind CSS, Vite, and CJ Router

Architecture

Browser
  └─ Preact dashboard
       ├─ GraphQL API ── FastAPI services ── PostgreSQL
       ├─ Attachment API ── local filestore
       └─ MCP endpoint ── read-only reports

The canonical model definitions live in:

• backend/app/domains/system/data/system_models.json — models and fields
• backend/app/domains/system/data/system_model_schemas.json — view layouts

Quick start

Backend

cd backend
cp .env.example .env
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python scripts/setup_database.py
uvicorn main:app --reload

The API is available at http://localhost:8000, with GraphQL at http://localhost:8000/graphql.

scripts/setup_database.py recreates the configured database. Review DATABASE_URL before confirming the operation. A successful run also installs pg_trgm, creates all required trigram/FTS GIN search indexes, and verifies them against PostgreSQL before reporting completion.

Frontend

cd frontend
npm ci
npm run dev

The development server is available at http://localhost:3000 and proxies API requests to the backend.

Docker

cd backend
docker compose up --build

This starts PostgreSQL and the backend. Run the frontend separately with Vite for the best development experience.

Development commands

Task	Command
Backend tests	cd backend && .venv/bin/pytest -q
Backend migrations	cd backend && .venv/bin/alembic upgrade head
Frontend tests	cd frontend && npm test -- --run
Frontend lint	cd frontend && npm run lint
Production build	cd frontend && npm run build

Documentation

Start with the documentation index, or jump directly to:

• Database setup
• Declarative views
• Data format
• Frontend guide
• Backend guide
• GraphQL reference
• Insights format
• Global search design
• MCP reports
• Error handling guide
• Quality and testing guide

Security note

The seed credentials are intended for local development only. Replace default passwords and secrets before exposing any environment outside your workstation.

License

See the backend license file.