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Pair Programming with Modern LLMs and Agents

How AI tools like Cursor and Claude Code Radically Transform Software Development

AI doesn’t fail loudly. It generates code that looks correct and compiles anyway. This book shows you how to make AI dependable by building the context and guardrails that keep your team shipping instead of debugging.

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About

About

About the Book

I used to treat AI like a tool I touched occasionally. Then I watched it “work” on paper and still break in production—because you’re responsible for everything the AI writes. P(AI)r Programming is a practical, 2026-updated guide to configuring AI-assisted development so it behaves like a real collaborator: with MCP, rules, skills, and hooks that turn prompts into reliable workflows. Learn the mental models, patterns, and real workflows that help developers ship 3–5x faster without sacrificing quality.

Author

About the Author

Michael D. Callaghan

I began learning to program computers way back in 1981 in High School. The Data Processing teacher took pity on a young 9th grader and let me borrow time on the county's HP 2000 to teach myself BASIC. That experience grew into a passion for software development that has never waned. 

Though my early career took a 10-year detour, I finally began writing software professionally in 1995. I've been doing that ever since.

Contents

Table of Contents

  • AI Development in 2026
  • Why Pair Program with AI? The Case for 10x
  • How LLMs Think (and Why You Should Care)
  • Choosing the Right AI Tools and Models
  • Model Context Protocol (MCP)
  • Setting Context and Conventions
  • Automating Workflows with Skills
  • Enforcing with Hooks
  • Learning New Technologies with AI
  • From Chaos to Current: A Full-Stack Modernization
  • Shell Scripting and the Command Line
  • Git, Version Control, and Code Review
  • When AI Broke My Book (And AI Fixed It)
  • Data Generation, Testing, and Quality
  • Agile Project Management with AI
  • Scaling with AI
  • Ethics, Safety, and Responsible AI
  • Running AI Models Locally
  • The Future of AI-Powered Development
  • AI Development Tools Reference (2026)

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