AI coding tools can generate code at unprecedented speed, but they also accelerate technical debt. These 10 commandments propose a practical ethics and workflow: own your commits, plan before you code, avoid black-box changes, provide context, iterate in small batches, encode standards in the repo, reset poisoned chats, never leak secrets, refactor proactively, and stay the pilot.

AI pair programming works best when you switch between three modes: Augmented Coding (autocomplete for flow), Vibe Coding (natural-language scaffolding), and Context Engineering (grounding the model in your codebase). Learn when to use each—and how to combine them—to build faster with fewer mistakes.

LLMs are powerful but isolated from real data and real-time systems. MCP (Model Context Protocol) is an open, minimalist standard—built on JSON-RPC 2.0—that lets you connect external tools and data once and use it with any model.

A concise primer defining core AI terms—LLM vs. SML, prompts, agents, and MCP—how they fit together, and why they matter for building reliable AI systems.