Development Documentation

This directory contains development guidelines, environment setup, and team coordination documentation for the Plings platform.

Contents

Development Guidelines

Environment & Setup

Overview

This documentation supports development teams working on the Plings platform across multiple environments and tools:

Development Environment Types

  • Frontend (Lovable.dev): AI-assisted development environment
  • Backend (Traditional): Local development with Docker and Python
  • Hybrid Workflows: Coordination between different development approaches

Team Coordination

  • API Development: Shared GraphQL schema and endpoint coordination
  • Documentation Standards: Consistent documentation practices across teams
  • Code Quality: Linting, testing, and review processes
  • Deployment Workflows: CI/CD and environment management

Knowledge Management

  • AI Tool Integration: Optimized prompts and context for development assistants
  • Architecture Decisions: Documented technical choices and rationales
  • Best Practices: Proven patterns and anti-patterns for the Plings platform

For Frontend Developers

Development resources include:

  1. Lovable.dev Integration: Optimized knowledge files for AI-assisted development
  2. Component Standards: Reusable UI patterns and design system integration
  3. State Management: GraphQL integration and local state patterns
  4. Testing Strategies: Component testing and integration approaches
  5. Performance Guidelines: Optimization techniques for React applications

For Backend Developers

Development resources include:

  1. API Development: GraphQL resolver patterns and database integration
  2. Database Management: PostgreSQL and Neo4j integration strategies
  3. Testing Frameworks: Unit testing, integration testing, and mock strategies
  4. Performance Optimization: Query optimization and caching strategies
  5. Security Implementation: Authentication, authorization, and data protection

Cross-Team Coordination

Shared Responsibilities

  • API Contracts: GraphQL schema definitions and breaking change management
  • Data Models: Consistent type definitions across frontend and backend
  • Error Handling: Standardized error codes and user feedback patterns
  • Documentation Updates: Keeping shared knowledge current and accurate

Communication Patterns

  • API Requirements: Coordination through shared documentation files
  • Implementation Updates: Status tracking and progress communication
  • Technical Decisions: Architecture discussions and decision documentation
  • Issue Resolution: Bug tracking and collaborative problem-solving

Environment Configuration

Required Environment Variables

  • Database connections (PostgreSQL, Neo4j)
  • Authentication providers (Supabase, JWT)
  • External services (image storage, email)
  • Development flags and feature toggles

Development Tools

  • Version Control: Git workflows and branching strategies
  • Code Quality: ESLint, Prettier, mypy configurations
  • Testing: Jest, pytest, and integration test setups
  • Deployment: Vercel, Docker, and environment-specific configurations

Best Practices

Code Organization

  • Modular architecture with clear separation of concerns
  • Consistent naming conventions across languages and frameworks
  • Comprehensive error handling and logging
  • Performance-first development with optimization in mind

Documentation Standards

  • Keep documentation close to code
  • Update docs with every feature change
  • Use examples and code snippets liberally
  • Maintain consistency between frontend and backend perspectives