Feature Request: Comprehensive Production Error Handling and Logging System

### Description
This feature request proposes the implementation of a comprehensive, production-ready error handling and logging system for the Devr.AI project. The goal is to address critical issues identified during the codebase review and establish robust error management practices across both backend and frontend components.

### Problem Statement
### Issues Identified:
Inconsistent Error Handling: Different endpoints return errors in various formats, making it difficult for clients to handle errors consistently.
Poor Error Visibility: Errors lack sufficient context, such as correlation IDs or detailed metadata, making it hard to trace the root cause of issues.
Basic Logging: Logging is minimal and lacks structure, rotation, and correlation ID tracking.
No Request Tracking: There is no mechanism to track requests across the system using unique identifiers (e.g., correlation IDs).
Missing Health Monitoring: The system lacks comprehensive health checks for its components.
Frontend Error Management: The frontend lacks robust error handling, retry logic, and user-friendly error messages.
Weak Environment Validation: Environment variables are not validated properly, leading to potential misconfigurations.

### Proposed Solution

### Backend Improvements
Custom Exception Classes: Structured exception hierarchy with context information.
Error Handling Middleware: Automatic error processing with correlation IDs.
Enhanced Logging: Structured logging with rotation, correlation tracking, and performance monitoring.
Health Check System: Comprehensive health monitoring for all system components.
Configuration Validation: Robust environment variable validation with helpful error messages.

### Frontend Improvements
Enhanced API Client: Retry logic, comprehensive error handling, and request tracking.
Custom Error Classes: Structured error objects with correlation IDs and context.
User-Friendly Error Messages: Meaningful error messages for better user experience.
Health Monitoring: Frontend health checks and service status monitoring.