AI Engineering Curriculum & Technical Papers
Welcome to our research collection featuring academic papers, technical studies, and in-depth analysis in AI development and systems architecture.
Featured Research
AI Development & Engineering
- NLWeb: Building the AI Web with Natural Language Interfaces - Microsoft’s open-source framework for building conversational interfaces using MCP and Schema.org standards
- Agentic Context Engineering: Evolving Contexts for Self-Improving LMs - Stanford/Princeton research on ACE framework treating AI contexts as evolving playbooks (+10.6% agent performance, +8.6% finance tasks)
- Tiny Recursive Models: Less is More - Samsung research achieving 45% on ARC-AGI-1 with only 7M parameters through recursive reasoning
- Model Context Protocol (MCP) for Beginners - Comprehensive Microsoft curriculum with hands-on labs in C#, Java, JavaScript, Rust, Python, and TypeScript
- Hybrid AI Stack: Reduce AI Costs by 60-80% - Production-ready system that intelligently routes between local CPU models and cloud APIs to slash costs
- Complete AI Engineering Curriculum - Comprehensive guide from zero to $200K+ AI engineering salary
- Multi-Agent Architecture - Exploring distributed AI system design patterns
- Scaling AI Inference to Billions - Google Cloud’s decade-long journey in AI infrastructure
- Bob’s Brain: Open Source AI Assistant - Slack AI assistant template with enterprise integration
- Imbalanced-learn ML Toolkit - Essential toolkit for handling imbalanced datasets
Systems Architecture & Patterns
- Terraform for AI Infrastructure: Complete Guide - From zero to production: comprehensive Terraform learning resource for AI and cloud infrastructure
- Distributed Systems Architecture Patterns - Comprehensive cheat sheet for scalable system design
- Modern AI Transformer Deployment - End-to-end guide for production AI model serving
Platform Engineering Case Studies
- Building 254-Table BigQuery Schema in 72 Hours - Enterprise data platform architecture with 254 BigQuery tables
- DiagnosticPro Evolution Analysis - Complete forensic analysis of 13,597 files in AI platform development
- DiagnosticPro Platform Case Study - AI-powered vehicle diagnostics platform
- Building DiagnosticPro Platform - Complete technical breakdown of AI diagnostic system
- DiagnosticPro Feature Rollouts - Preview of advanced AI diagnostic features
- From Zero to AI Empire - Complete project evolution timeline and architecture decisions
- Season 2025 Recap - Complete year overview of platform development
Developer Tools & Documentation
- AI-Dev Transformation Part 1 - From chaos to organized AI-powered development
- AI-Dev Transformation Part 2 - Building enterprise prompt libraries
- AI-Dev Transformation Part 3 - One-paste magic template system
- AI-Dev Transformation Part 4 - Dual AI workflows with Claude and Cursor
- Building AI-Friendly Documentation - Professional documentation toolkit with Claude
- Repository Transformation Guide - From chaos to professional prompt engineering toolkit
Security & Linux Systems
- Advanced Linux Security - SSH, Debian package management, and security best practices
- Comprehensive SSH, Debian & Grep Guide - Technical guide to SSH, Debian packages, and text processing
- Linux Security Glossary - Comprehensive reference for systems administration
- Security Audit & Python Environment Battle - 3-hour battle with Python environments and security audits
- Waygate MCP v2.1.0 Production Release - Enterprise MCP server with TaskWarrior
Founder’s Journey & Development Insights
- Founder’s Log: September 2025 - Daily operations and strategic thinking in AI platform development
- Day One Tech Journey - Starting the AI engineering journey
- A Day of Steel Beams and Soccer - Balancing life and tech
- The Perfect Developer Workspace - Lessons from a real-world cleanup
Methodology & Tools
Our research methodology emphasizes:
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