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A practical course for developers on coding with AI assistants such as Claude Code, GitHub Copilot and Cursor. Learn how they work, how to give them the right context and project instructions, how to work with coding agents, and how to test, debug and review AI-written code safely. Clear diagrams, copy-ready prompts and config files, runnable examples and a quick knowledge check every day.

  • 10 days
  • ~25 min / day
  • Beginner
  • Free account required
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Ready when you are

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Start Day 1

The big picture

Everything you'll cover, and how it fits together.

Mind map · click a dot to fold, drag to pan

Day by day

Go at your own pace. Your progress is remembered on this device.

  1. 1
    Day 1Up next 25 min

    How AI Coding Assistants Work

    Autocomplete, chat and agents: what each does, what the model can see, and where it goes wrong.

    AutocompleteChatAgents
  2. 2
    Day 2 25 min

    The Tools: Claude Code, Copilot & Cursor

    Where each tool lives, what it's best at, and how to choose.

    Terminal agentsEditor pluginsAI editors
  3. 3
    Day 3 25 min

    Your First Session

    Set up a tool, explore an unfamiliar codebase and make a first small change safely.

    SetupExploring codeFirst change
  4. 4
    Day 4 25 min

    Prompting for Code

    Describe the goal, point to the right files, give constraints and say how you'll check it.

    GoalContextDone criteria
  5. 5
    Day 5 25 min

    Project Instructions: CLAUDE.md, Rules & More

    Teach the assistant your project once: commands, conventions and things to avoid.

    CLAUDE.mdCopilot instructionsCursor rules
  6. 6
    Day 6 25 min

    Working with Coding Agents

    Plan first, work in small steps, let the agent run checks, and keep control with git.

    Plan modeSmall stepsCheckpoints
  7. 7
    Day 7 25 min

    Tests & Debugging with AI

    Write tests first, give the assistant real errors, and debug with hypotheses, not guesses.

    Tests firstError messagesDebugging
  8. 8
    Day 8 25 min

    Reviewing AI-Written Code

    A review checklist for correctness, edge cases, made-up APIs, security and readability.

    ChecklistEdge casesHallucinated APIs
  9. 9
    Day 9 25 min

    Security, Privacy & Team Rules

    Secrets, prompt injection, permissions, data settings and agreeing team guidelines.

    SecretsPrompt injectionPermissions
  10. 10
    Day 10 25 min

    Practice Project: Issue to Pull Request

    Use everything in one realistic workflow, from a ticket to a reviewed pull request.

    PlanBuild & testReview & ship