Claude Code Masterclass 2026 AI Agents, MCP & Automation

Build a real app with Claude Code: plan mode, project memory, skills, hooks, subagents, MCP, headless mode and CI
What you'll learn

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Plan, build and review features with Claude Code on a real Node.js project, from an empty folder to a tested app
Write project instruction files, rules and briefs that keep Claude consistent across sessions
Use plan mode, permission modes, subagents, skills and hooks, and know when each one pays off
Debug intermittent bugs by proving the cause first, and turn manual checks into automated tests
Keep long sessions focused with /context, /compact and /clear, and control what they cost
Connect Claude Code to your tools with MCP, build and share your own server, and keep write access behind permissions
Run Claude Code unattended: scripts with JSON output, a pull request review in CI, and your own agent with the Agent SDK
Land a change that touches the store, the API, the page and the tests, with a database migration proved on real data
Requirements

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Basic programming experience in any language (JavaScript helps, but is not required)
A computer with Windows, macOS or Linux, and Node.js 24 or later
A Claude subscription or Anthropic API access to run Claude Code
Description

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This course contains the use of artificial intelligence.
Claude Code can write a feature in minutes. It can also tell you a task is done when it isn't, forget a rule halfway through a long session, or fix the symptom instead of the bug. This course teaches you to get the first without the rest.
Every lesson is built on real Claude Code sessions, not staged demos. You'll watch one project, TaskFlow, grow from an empty folder into a tested app with an API, a database, a web page and its own MCP server, one real session at a time. When Claude gets something wrong, and it does, you'll see the actual output, how it was caught and how it was fixed.
What you'll practice
Writing briefs that get the result you meant, and using plan mode before big changes
Project instructions, rules and memory that keep a project consistent across sessions
Permission modes, and when to let Claude edit without asking
Subagents, skills and hooks for work you repeat
Debugging bugs that only happen sometimes, and proving the fix
Keeping long sessions sharp with /context, /compact and /clear
Turning manual browser checks into automated tests
MCP: adding servers, building your own, sharing it with the team, and keeping write tools behind a permission
Claude Code without you watching: scripts with JSON output, a pull request review that runs in CI, and your own agent with the Agent SDK
Where the money goes in a run, measured, and the choices that change the bill
One bigger change end to end: the plan, six commits, and a database migration proved on a copy of real data
Twenty-eight lessons, and twenty-five downloads: each one is the project at that exact point, so you can run the same commands yourself, plus the prompts, project instruction files, subagents, skills, hooks, the MCP server and the scripts used on screen.
How this course is made: the instructor designs and reviews the course, and the "from my work" examples come from the instructor's own projects. Every Claude Code session shown was actually run and checked; the terminal output on screen comes from those sessions. The narration uses an AI voice, the slide illustrations are AI-generated, and the instructor greeting that opens the first lesson is an AI avatar created from the instructor's own photo.
Who it's for: developers and technical people who already write some code and want to use Claude Code in real projects with confidence.
Who this course is for

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Developers who want to use Claude Code on real projects, not just demos
Technical people who automate work and want an AI agent they can trust and check
Anyone who has tried AI coding tools and got results that looked done but weren't
Homepage

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