π 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
π¨ Emergency Fixes Applied
Table of Contents
Overview
Revolutionary server-side optimizations that reduce Time To First Visible Token (TTFVT) by 60-70%
This directory contains scripts for setting up AWS WAF (Web Application Firewall) to protect your Bike4Mind application from API hammering and enable emergency IP blocking.
1. Architecture Overview
Executive Summary
Overview
Executive Summary
What We've Accomplished
Current Status: Quest 5 - Real-time Version Management β
Quick Overview
AWS Question:
Comprehensive answer to REL12 questions showcasing Bike4Mind's testing practices, load testing, and automated validation while addressing scale considerations
This documentation is intended for full-stack developers, QA engineers, DevOps teams, and internal engineering stakeholders working with or contributing to the Bike4Mind platform.
Overview
1. Data Inventory & Backup Requirements
1. Data Types and Classification
Our leadership has founded and sold multiple game companies, including an exit to Zynga as a GM and held leadership on Mafia Wars and FarmVille. This experience of building and running games at the largest of scales imbues our culture to be:
Our leadership has founded and sold multiple game companies, including an exit to Zynga as a GM and held leadership on Mafia Wars and FarmVille. This experience of building and running games at the largest of scales imbues our culture to be:
1. Incident Response Team Structure
Best practices and patterns for optimizing client-side performance in Bike4Mind
This document lists security vulnerabilities identified in project dependencies through pnpm audit. These issues require remediation to maintain a secure codebase.
Bike4Mind provides a suite of shared tools, libraries, and structured conventions to promote consistency, speed up development, and reduce the surface area for errors across the monorepo. These tools are used across both client and server code and form the foundation of the developer experience.
All Bike4Mind developers are expected to adhere to a clear set of development practices that promote consistency, maintainability, and security across the platform. These practices apply to feature development, bug fixes, infrastructure changes, and refactors.
Bike4Mindβs infrastructure and development workflows are optimized for speed, reliability, and safety. The platform leverages modern serverless tooling and automated deployment pipelines, combined with rigorous testing practices and local development parity.
Overview
Problem
This document explains how to configure Bike4Mind to use AWS DocumentDB instead of MongoDB Atlas.
Guide for adding new AI image providers to the system
Overview
Overview
Overview
This document provides detailed information about our Gitleaks implementation for detecting and preventing secrets from being committed to the repository.
Comprehensive overview of Bike4Mind's image generation architecture
Complete documentation for Bike4Mind's image generation system
Common issues and solutions for the image generation system
Bike4Mind is focused on building robust AI augmented and agentic solutions by rapidly deploying our Bike4Mind technology and customizing it for our enterprise customers.
Executive Summary
π― Executive Summary
Bike4Mind maintains a disciplined operational model, with structured response protocols, clear escalation paths, and documented remediation procedures. Operational integrity is prioritized alongside feature delivery, ensuring the platform remains reliable, observable, and recoverable under failure conditions.
Overview
Executive Summary
β Quest 1 Complete!
Overview
π Quest Overview
βοΈ Quest Overview
Overview
Comprehensive security documentation including AWS TFR answers, compliance frameworks, and operational security guides
This document outlines our automated security scanning approach and how to interpret results.
Overview
Welcome to our testing documentation! This section covers our testing practices, tools, and methodologies.
This guide covers deploying Bike4Mind for TwinSpires using AWS DocumentDB.
This guide covers our unit testing practices using Vitest, including setup, writing tests, and best practices.
Overview
Overview
Overview
Security Overview