AI course path
Learn Claude Code and coding agents with a practical course path.
This path is for developers and technical founders. The goal is to learn how to use Claude Code safely and leave with a concrete outcome: plan, implement, test and review code with an AI coding agent.
Best use cases
- ship feature branches faster
- write targeted tests
- review risky diffs before merge
Avoid these mistakes
- letting agents edit without a spec
- skipping tests because the code looks plausible
- mixing secrets into prompts
Practical workflow
Step 1
Create a narrow spec
Step 2
Let the agent inspect the repo
Step 3
Apply changes in small steps
Step 4
Run tests and review the diff
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Frequently asked questions
Who is the Claude Code and coding agents path best for?
It is best for developers and technical founders. The page is written around the intent to learn how to use Claude Code safely, with a practical outcome: plan, implement, test and review code with an AI coding agent.
What should I learn first for Claude Code and coding agents?
Start with the workflow: create a narrow spec, let the agent inspect the repo, apply changes in small steps. Then use the recommended course to add structure and feedback.
How does enrollment work for this course path?
Use the public topic page to understand the curriculum, prerequisites and outcomes. When you are ready to enroll, the pricing page lists the current course and all-access options.
Which tools are used for Claude Code and coding agents?
Claude Code, Codex, Cursor, GitHub and Playwright. The course path focuses on repeatable workflows first, then tool choice.
Course content is paid. Public topic pages, previews, curriculum outlines, blog guides, glossary entries and comparison pages help you choose the right path before checkout.
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