AI Coding Mastery 2026: Claude Code + Multi-Model Stack

About this course

This course contains the use of artificial intelligence.

Most AI coding tools forget you the second you close the tab. Claude Code does not.

This course teaches the agentic AI coding workflow most developers do not know exists. You will go from running your first claude command to spawning teams of agents that work in parallel, building your own MCP servers, writing hooks that fire on every commit, and routing work across nine different models including Claude Opus, GPT-5 Codex, Gemini 2.5, GLM-5.1, MiniMax M2.7, and the local Ollama stack with DeepSeek 671B, Kimi 1T, and Qwen Coder.

Why this course exists

Most AI coding courses you find right now are shallow Cursor tutorials or ChatGPT prompt galleries. This is the deep one. The one I wanted to find when I started, and could not. Every lesson shows real terminal output, real apps, real workflows. No slide decks. No theory. No filler.

What you will master

Claude Code installation, configuration, and the full CLI workflow on Windows, macOS, and LinuxBuilding MCP servers in both Python and TypeScript with resources, tools, and prompts

The Skills system: project-scoped and global, plus advanced patterns like multi-step and self-healing

Subagents and parallel agent teams: 5+ workers running on a single project at the same time

The full multi-model architecture: dual mode, triple mode, smart routing, cost-aware budgets

Hooks and automation: PreTool, PostTool, Stop, Notification, and Cron

Create scheduled agents

Persistent memory through brain MCP, project profiles, and end-of-session lessons

The rules system: Karpathy pillars, intelligence rules, red team rules, and the credentials model

Real-world workflows: shipping a full feature, debugging a production bug, refactoring legacy code

Module 13 — the Multi-Model Power Stack covering GPT-5

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