Go from zero to productive with Claude Code — the terminal AI coding agent that writes, edits, tests, and ships real projects alongside you.
Build a Website with Claude Code — Zero Coding Required
Your first real project with Claude Code, step by step.
Claude Code Commands: Complete Slash Command Reference
Every command, flag, and shortcut in one place.
Claude Code Settings: Every Option in settings.json Explained
Customize Claude Code's behavior at the project and user level.
Claude Code Permission Modes Explained
Default, AutoEdit, Bypass — when to use each and why.
Claude Code Plan Mode: Complete Guide
Separate thinking from doing — review the full plan before Claude touches a file.
What Is CLAUDE.md? Persistent Memory for Claude Code
The file that transforms Claude from stateless to context-aware.
Claude Code Context Window: What Happens When You Hit the Limit
Strategies for working effectively within context constraints.
Claude Code MCP Servers: Connect Any Tool to Your Agent
Extend Claude Code with databases, APIs, and external tools.
Claude Code Hooks: Automate Actions on Tool Calls
Trigger shell commands automatically before and after tool use.
Claude Code Subagents: Multi-Agent Workflows
Run parallel worktrees, spawn specialist agents, and scale beyond single-context limits.
How to Use Claude Code in VS Code
Complete setup guide for the IDE extension.
Steering Claude Code: CLAUDE.md, Skills, Hooks, Subagents, Rules
Advanced patterns for controlling Claude Code on complex projects.
Claude Code for Large Codebases
Limit scope, avoid token waste, and stay effective at scale.
Claude Code is an agentic AI coding assistant that runs in your terminal. Unlike IDE chat plugins, Claude Code reads your codebase, writes and edits files, runs tests, manages git, and takes multi-step autonomous actions to complete coding tasks. It's designed for developers who want a genuine AI collaborator, not just autocomplete.
One of the articles in this pathway is specifically about building a website with Claude Code without prior coding experience. The tool is usable by non-developers for simple projects. That said, more complex projects benefit significantly from development fundamentals — knowing what the code does even if you didn't write it.
13 articles, approximately 7 hours. This pathway is intermediate — it assumes you have a basic understanding of what code is and how terminals work, but doesn't require deep software engineering experience.
Understand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new.
10 articles · ~4h →Go from vague requests to precise, reproducible AI outputs. The skill that underpins everything.
11 articles · ~5h →Understand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous.
11 articles · ~6h →Practical AI adoption for your specific function — marketing, engineering, HR, finance, and more.
10 articles · ~4h →Navigate the crowded model market — Claude, GPT, Gemini, open-source — and understand the tradeoffs.
10 articles · ~6h →The technical foundations every AI builder needs — APIs, Git, Docker, Python, Next.js, and modern web.
10 articles · ~6h →
