YOUR LEARNING PATH
From “Where do I start?”
to “I can do this.”
24 basics in a useful order. Open available lessons now; the remaining topics will be developed over time.
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01
Getting startedLearn →
Write a clear AI task: goal, context, result
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02
Getting startedLearn →
Check AI Code Before You Keep It
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03
Getting startedLearn →
Chat, Coding Agent, or Model: Choose the Right Layer
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04
Better promptsLearn →
Prompting: Set effort, scope, and completion clearly
- 05 Learn →
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06
Better promptsLearn →
Prompt iteration: improve AI work step by step
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07
Context & memoryLearn →
AGENTS.md: Project Rules for Coding Agents
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08
Context & memoryLearn →
CLAUDE.md: Shared Instructions, Not a Security Lock
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09
Context & memoryLearn →
Auto Memory in Claude Code: Context Across Sessions
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10
Context & memoryLearn →
Context Windows: What AI Can See Right Now
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11
Context & memoryLearn →
Token optimization: give AI coding tasks the right context
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12
Context & memoryLearn →
Context compaction: Continue a long AI session cleanly
- 13 Learn →
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14
ToolsOn the roadmap
Understand and choose plugins
- 15 Learn →
- 16 Learn →
- 17 Learn →
- 18 Learn →
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19
Work safelyOn the roadmap
Which data belongs in an AI task?
- 20 Learn →
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21
Work safelyLearn →
Review AI Code With Diffs and Tests
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22
Work safelyOn the roadmap
Recognize untrusted instructions in files
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23
Work safelyOn the roadmap
Distinguish subscriptions, API costs and limits
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24
Work safelyOn the roadmap
Turn a good task into a repeatable workflow