📊 Performance Logging System
Clean console logging system that can be toggled on/off to reduce console noise while preserving critical performance insights
Clean console logging system that can be toggled on/off to reduce console noise while preserving critical performance insights
Table of Contents
🎯 Problem Solved
Overview
Revolutionary server-side optimizations that reduce Time To First Visible Token (TTFVT) by 60-70%
Executive Summary
Overview
What We've Accomplished
Quick Overview
AWS Question:
Comprehensive answer to OPS4.1 showcasing Bike4Mind's observability strategy centered around Time to First Visible Token (TTFVT) and comprehensive AI performance monitoring
This documentation is intended for full-stack developers, QA engineers, DevOps teams, and internal engineering stakeholders working with or contributing to the Bike4Mind platform.
Introduction
1. Data Inventory & Backup Requirements
1. Data Types and Classification
Best practices and patterns for optimizing client-side performance in Bike4Mind
Quick Setup for Local Development
This document explains how to configure Bike4Mind to use AWS DocumentDB instead of MongoDB Atlas.
Overview
Understanding how files are managed and used as context in Bike4Mind notebooks
Complete documentation for Bike4Mind's image generation system
Common issues and solutions for the image generation system
🎯 Executive Summary
6.1 Overview
Executive Summary
✅ Quest 1 Complete!
🐊 Quest Overview
Overview
Bike4Mind is instrumented with robust, real-time telemetry that provides insight into system behavior, user interaction, feature usage, and platform health. Observability is treated as a first-class concern and is embedded into the architecture from the infrastructure layer through to the user interface.
Overview
Overview
Security Overview
Overview