---
title: "Research & Curriculum"
description: "Research & Curriculum"
date: "2001-01-01"
tags: ["start-ai-tools"]
featured: false
---
<h2 id="ai-engineering-curriculum--technical-papers">AI Engineering Curriculum &amp; Technical Papers</h2>
<p>Welcome to our research collection featuring academic papers, technical studies, and in-depth analysis in AI development and systems architecture.</p>
<h2 id="featured-research">Featured Research</h2>
<h3 id="ai-development--engineering">AI Development &amp; Engineering</h3>
<ul>
<li><strong><a href="https://startaitools.com/research/nlweb-conversational-interfaces/">NLWeb: Building the AI Web with Natural Language Interfaces</a></strong> - Microsoft’s open-source framework for building conversational interfaces using MCP and Schema.org standards</li>
<li><strong><a href="https://arxiv.org/abs/2510.04618">Agentic Context Engineering: Evolving Contexts for Self-Improving LMs</a></strong> - Stanford/Princeton research on ACE framework treating AI contexts as evolving playbooks (+10.6% agent performance, +8.6% finance tasks)</li>
<li><strong><a href="https://startaitools.com/tiny-recursive-models/">Tiny Recursive Models: Less is More</a></strong> - Samsung research achieving 45% on ARC-AGI-1 with only 7M parameters through recursive reasoning</li>
<li><strong><a href="https://startaitools.com/mcp-for-beginners/">Model Context Protocol (MCP) for Beginners</a></strong> - Comprehensive Microsoft curriculum with hands-on labs in C#, Java, JavaScript, Rust, Python, and TypeScript</li>
<li><strong><a href="https://startaitools.com/posts/hybrid-ai-stack-reduce-ai-api-costs-by-60-80-with-intelligent-request-routing/">Hybrid AI Stack: Reduce AI Costs by 60-80%</a></strong> - Production-ready system that intelligently routes between local CPU models and cloud APIs to slash costs</li>
<li><strong><a href="">Complete AI Engineering Curriculum</a></strong> - Comprehensive guide from zero to $200K+ AI engineering salary</li>
<li><strong><a href="">Multi-Agent Architecture</a></strong> - Exploring distributed AI system design patterns</li>
<li><strong><a href="">Scaling AI Inference to Billions</a></strong> - Google Cloud’s decade-long journey in AI infrastructure</li>
<li><strong><a href="">Bob’s Brain: Open Source AI Assistant</a></strong> - Slack AI assistant template with enterprise integration</li>
<li><strong><a href="">Imbalanced-learn ML Toolkit</a></strong> - Essential toolkit for handling imbalanced datasets</li>
</ul>
<h3 id="systems-architecture--patterns">Systems Architecture &amp; Patterns</h3>
<ul>
<li><strong><a href="">Terraform for AI Infrastructure: Complete Guide</a></strong> - From zero to production: comprehensive Terraform learning resource for AI and cloud infrastructure</li>
<li><strong><a href="">Distributed Systems Architecture Patterns</a></strong> - Comprehensive cheat sheet for scalable system design</li>
<li><strong><a href="">Modern AI Transformer Deployment</a></strong> - End-to-end guide for production AI model serving</li>
</ul>
<h3 id="platform-engineering-case-studies">Platform Engineering Case Studies</h3>
<ul>
<li><strong><a href="">Building 254-Table BigQuery Schema in 72 Hours</a></strong> - Enterprise data platform architecture with 254 BigQuery tables</li>
<li><strong><a href="">DiagnosticPro Evolution Analysis</a></strong> - Complete forensic analysis of 13,597 files in AI platform development</li>
<li><strong><a href="">DiagnosticPro Platform Case Study</a></strong> - AI-powered vehicle diagnostics platform</li>
<li><strong><a href="">Building DiagnosticPro Platform</a></strong> - Complete technical breakdown of AI diagnostic system</li>
<li><strong><a href="">DiagnosticPro Feature Rollouts</a></strong> - Preview of advanced AI diagnostic features</li>
<li><strong><a href="">From Zero to AI Empire</a></strong> - Complete project evolution timeline and architecture decisions</li>
<li><strong><a href="">Season 2025 Recap</a></strong> - Complete year overview of platform development</li>
</ul>
<h3 id="developer-tools--documentation">Developer Tools &amp; Documentation</h3>
<ul>
<li><strong><a href="">AI-Dev Transformation Part 1</a></strong> - From chaos to organized AI-powered development</li>
<li><strong><a href="">AI-Dev Transformation Part 2</a></strong> - Building enterprise prompt libraries</li>
<li><strong><a href="">AI-Dev Transformation Part 3</a></strong> - One-paste magic template system</li>
<li><strong><a href="">AI-Dev Transformation Part 4</a></strong> - Dual AI workflows with Claude and Cursor</li>
<li><strong><a href="">Building AI-Friendly Documentation</a></strong> - Professional documentation toolkit with Claude</li>
<li><strong><a href="">Repository Transformation Guide</a></strong> - From chaos to professional prompt engineering toolkit</li>
</ul>
<h3 id="security--linux-systems">Security &amp; Linux Systems</h3>
<ul>
<li><strong><a href="">Advanced Linux Security</a></strong> - SSH, Debian package management, and security best practices</li>
<li><strong><a href="">Comprehensive SSH, Debian &amp; Grep Guide</a></strong> - Technical guide to SSH, Debian packages, and text processing</li>
<li><strong><a href="">Linux Security Glossary</a></strong> - Comprehensive reference for systems administration</li>
<li><strong><a href="">Security Audit &amp; Python Environment Battle</a></strong> - 3-hour battle with Python environments and security audits</li>
<li><strong><a href="">Waygate MCP v2.1.0 Production Release</a></strong> - Enterprise MCP server with TaskWarrior</li>
</ul>
<h3 id="founders-journey--development-insights">Founder’s Journey &amp; Development Insights</h3>
<ul>
<li><strong><a href="">Founder’s Log: September 2025</a></strong> - Daily operations and strategic thinking in AI platform development</li>
<li><strong><a href="">Day One Tech Journey</a></strong> - Starting the AI engineering journey</li>
<li><strong><a href="">A Day of Steel Beams and Soccer</a></strong> - Balancing life and tech</li>
<li><strong><a href="">The Perfect Developer Workspace</a></strong> - Lessons from a real-world cleanup</li>
</ul>
<h2 id="methodology--tools">Methodology &amp; Tools</h2>
<p>Our research methodology emphasizes:</p>
