Visual Studio Code Mastery · Step 12 of 15
AI Agents in VS Code
Learn to direct Claude Code inside VS Code and review its work like a real pull request, not a black box.
What you’ll walk away with
- Run Claude Code in VS Code through both the terminal and the official extension, and know when to use each
- Feed Claude Code real project context from inside your editor so it produces relevant, usable changes
- Review agent-generated code with the same rigor as a real pull request before accepting it
- Execute a complete agentic workflow in VS Code from prompt to reviewed, merged change
- Recognize the difference between blindly accepting AI output and directing it as an accountable collaborator
Questions people ask before they start
Do I need prior experience with Claude Code or AI coding agents?
No. The course starts with the basics of running Claude Code in VS Code via both the terminal and the official extension, so you can begin from zero.
Is this course about VS Code extensions in general, or specifically Claude Code?
It's specifically about directing Claude Code inside VS Code — the terminal, the official extension, feeding it context, and reviewing its work — not a general survey of AI extensions.
Will I actually build something, or is this just theory?
The final lesson is a hands-on module where you run a complete agentic workflow in VS Code end to end, applying everything from context-setting through review.
How does this course treat reviewing AI-generated code?
There's a dedicated lesson on reviewing agentic work like a real pull request, so you learn to scrutinize Claude Code's changes rather than accepting them unchecked.
Does this course cover other editors or AI tools besides Claude Code in VS Code?
No — the curriculum is focused entirely on Claude Code within VS Code, covering the terminal and extension workflows, context-giving, review, and a full hands-on exercise.
Why is a cybersecurity company teaching an AI coding course?
Securafy built AI University to teach people to build real software with AI safely, and this course reflects that by emphasizing reviewing agent output like a real pull request rather than trusting it blindly.