diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5259754..844af70 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,6 +8,22 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
### Added
+- **Learning with AI guide** for junior developers (`guide/learning-with-ai.md`, ~900 lines)
+ - **Quick Self-Check** (L31-81): 5 diagnostic questions to assess AI dependency
+ - **Three Developer Patterns** (L82-126): Dependent, Avoidant, Augmented profiles with action paths
+ - **UVAL Protocol** (L127-352): Understand → Verify → Apply → Learn framework with Claude Code implementations
+ - **Claude Code for Learning** (L353-469): CLAUDE.md configuration, slash commands, hooks for learning mode
+ - **Breaking Dependency** (L470-517): Recovery plan for over-reliant developers
+ - **Embracing AI** (L518-709): Onboarding for AI-skeptical developers
+ - **30-Day Progression Plan** (L710-769): Week-by-week AI ratio progression
+ - **Red Flags Checklist** (L770-850): Warning signs and corrective actions
+ - Case study: Méthode Aristote principles (human supervision + AI assistance)
+
+- **Learning mode templates** (3 new files)
+ - `examples/claude-md/learning-mode.md`: CLAUDE.md template for learning-focused development
+ - `examples/commands/quiz.md`: /quiz slash command for self-testing (5 difficulty levels)
+ - `examples/hooks/bash/learning-capture.sh`: Stop event hook for daily learning capture
+
- **Wireframing & Figma MCP documentation** in `guide/ultimate-guide.md` (+143 lines)
- **Wireframing Tools for AI Development** (L483-518): Comparison table for Excalidraw, tldraw, Frame0, Paper+Photo with MCP support indicators
- **Figma MCP Integration** (L520-583): Official Anthropic MCP server setup, available tools (`get_design_context`, `get_variable_defs`, `get_code_connect_map`), workflow examples
@@ -17,6 +33,11 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
### Changed
+- **README.md**: Added prominent "Visit Website" badge linking to landing page
+- **Templates count**: 52 → 55 in README.md badges (3 new learning templates)
+- **Navigation updated**: `guide/README.md`, `examples/hooks/README.md` with new learning resources
+- **Reference index expanded**: `machine-readable/reference.yaml` with 10 new deep_dive entries for learning topics
+
- **Semantic search tools priority**: grepai now recommended over mgrep
- `guide/ultimate-guide.md`: Sections reordered (grepai first as "Recommended", mgrep as "Alternative")
- `guide/cheatsheet.md`: MCP Servers table updated (mgrep → grepai)
diff --git a/README.md b/README.md
index c4103fb..4ff0639 100644
--- a/README.md
+++ b/README.md
@@ -1,9 +1,13 @@
# Claude Code Guide
+
+
+
+
-
+
@@ -129,7 +133,7 @@ Claude asks 2-4 questions then guides you through personalized content based on
- You read official docs → dense, no progression
- You search tutorials → scattered, outdated in weeks
-**This guide:** Structured learning path with 53 copy-paste templates. Your mileage may vary—but this saves you the exploration time.
+**This guide:** Structured learning path with 55 copy-paste templates. Your mileage may vary—but this saves you the exploration time.
| Traditional Docs | This Guide |
|------------------|------------|
@@ -328,14 +332,15 @@ Weak Areas (< 75%):
### 🎯 By Role (Tailored Learning Paths)
-Junior Developer — Foundation path (6 steps)
+Junior Developer — Foundation path (7 steps)
1. [Quick Start](./guide/ultimate-guide.md#1-quick-start-day-1) — Install & first workflow
2. [Essential Commands](./guide/ultimate-guide.md#13-essential-commands) — The 7 commands
3. [Context Management](./guide/ultimate-guide.md#22-context-management) — Critical concept
4. [Memory Files](./guide/ultimate-guide.md#31-memory-files-claudemd) — Your first CLAUDE.md
-5. [TDD Workflow](./guide/workflows/tdd-with-claude.md) — Test-first development
-6. [Cheat Sheet](./guide/cheatsheet.md) — Print this
+5. [Learning with AI](./guide/learning-with-ai.md) — Use AI without becoming dependent ⭐
+6. [TDD Workflow](./guide/workflows/tdd-with-claude.md) — Test-first development
+7. [Cheat Sheet](./guide/cheatsheet.md) — Print this
diff --git a/examples/README.md b/examples/README.md
index 9118ab5..1570090 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -14,6 +14,7 @@ Ready-to-use templates for Claude Code configuration.
| [`hooks/`](./hooks/) | Event-driven automation scripts |
| [`config/`](./config/) | Configuration file templates |
| [`memory/`](./memory/) | CLAUDE.md memory file templates |
+| [`claude-md/`](./claude-md/) | Specialized CLAUDE.md configurations |
| [`scripts/`](./scripts/) | Utility scripts for setup and diagnostics |
| [`github-actions/`](./github-actions/) | CI/CD workflows for GitHub Actions |
| [`workflows/`](./workflows/) | Advanced development workflow guides |
@@ -69,6 +70,7 @@ Ready-to-use templates for Claude Code configuration.
| [git-worktree.md](./commands/git-worktree.md) | `/git-worktree` | Isolated git worktree setup |
| [diagnose.md](./commands/diagnose.md) | `/diagnose` | Interactive troubleshooting assistant (FR/EN) |
| [validate-changes.md](./commands/validate-changes.md) | `/validate-changes` | LLM-as-a-Judge pre-commit validation |
+| [quiz.md](./commands/quiz.md) | `/quiz` | Self-testing for learning concepts |
### Hooks
| File | Event | Purpose |
@@ -85,6 +87,7 @@ Ready-to-use templates for Claude Code configuration.
| [output-validator.sh](./hooks/bash/output-validator.sh) | PostToolUse | Heuristic output validation |
| [session-logger.sh](./hooks/bash/session-logger.sh) | PostToolUse | Log operations for monitoring |
| [pre-commit-evaluator.sh](./hooks/bash/pre-commit-evaluator.sh) | Git hook | LLM-as-a-Judge pre-commit |
+| [learning-capture.sh](./hooks/bash/learning-capture.sh) | Stop | Prompt for daily learning capture |
> **See [hooks/README.md](./hooks/README.md) for complete documentation and security hardening patterns**
@@ -101,6 +104,13 @@ Ready-to-use templates for Claude Code configuration.
| [CLAUDE.md.project-template](./memory/CLAUDE.md.project-template) | Team project memory |
| [CLAUDE.md.personal-template](./memory/CLAUDE.md.personal-template) | Personal global memory |
+### CLAUDE.md Configurations
+| File | Purpose |
+|------|---------|
+| [learning-mode.md](./claude-md/learning-mode.md) | Learning-focused development configuration |
+
+> **See [guide/learning-with-ai.md](../guide/learning-with-ai.md) for complete documentation**
+
### Scripts
| File | Purpose | Output |
|------|---------|--------|
diff --git a/examples/claude-md/learning-mode.md b/examples/claude-md/learning-mode.md
new file mode 100644
index 0000000..4f58143
--- /dev/null
+++ b/examples/claude-md/learning-mode.md
@@ -0,0 +1,169 @@
+# Learning Mode CLAUDE.md Template
+
+A CLAUDE.md configuration optimized for developers who want to learn, not just produce code.
+
+## Usage
+
+Copy this content to your project's `CLAUDE.md` file and customize the sections marked with `[brackets]`.
+
+---
+
+## Template
+
+```markdown
+# Learning-First Configuration
+
+## About Me
+- I'm learning: [React hooks, TypeScript, system design, etc.]
+- My level: [beginner/intermediate/advanced] on these topics
+- I learn best when: [examples shown first / concepts explained first / hands-on practice]
+- My goal: [Build portfolio projects / Prepare for interviews / Career transition]
+
+## Response Style
+
+### Always
+- Explain WHY, not just WHAT
+- After code blocks, pause and ask "What questions do you have about this?"
+- Highlight concepts I should understand deeper
+- Point out common mistakes beginners make on this topic
+- Use comments in code to explain non-obvious parts
+
+### When I'm Stuck
+1. First ask what I've already tried
+2. Guide me toward the answer with hints before giving it directly
+3. Explain the underlying concept, not just the fix
+4. Show how to debug similar issues in the future
+
+### Code Examples
+- Keep examples focused and minimal
+- Show the "why" through comments
+- After complex examples, break down what each part does
+- Offer to show alternative approaches
+
+## Learning Challenges
+
+After implementing something new:
+- Suggest 1-2 exercises to reinforce the concept
+- Point out edge cases I should consider
+- Ask me to predict what would happen if X changed
+
+## Verification Prompts
+
+After generating code, occasionally ask:
+- "Can you explain what line X does?"
+- "What would break if we removed Y?"
+- "Why did we use Z instead of W?"
+
+If I can't answer, help me understand before moving on.
+
+## Topics I'm Focusing On
+- [Topic 1]: Want thorough explanations
+- [Topic 2]: Want thorough explanations
+- [Topic 3]: Know basics, want advanced patterns
+
+## Topics I Know Well
+- [Topic A]: Be concise, I know this
+- [Topic B]: Be concise, I know this
+
+## My Constraints
+- Time available: [15 min / 1 hour / open-ended]
+- Can I break things? [yes - learning environment / no - production]
+- Deadline pressure: [none / some / high]
+
+## Special Modes
+
+### Challenge Mode
+When I say "challenge mode on":
+- Don't give complete solutions
+- Ask Socratic questions instead
+- Guide me to discover the answer myself
+- Only reveal solution if I explicitly give up
+
+When I say "challenge mode off":
+- Return to normal helpful mode
+
+### Interview Prep Mode
+When I say "interview mode":
+- After solving something, ask: "How would you explain this in an interview?"
+- Suggest related interview questions
+- Point out Big-O complexity when relevant
+- Note common follow-up questions interviewers ask
+
+## End of Session
+Before ending a session, remind me:
+1. What new concepts we covered
+2. Suggest one thing to practice tomorrow
+3. Ask: "What's one thing you learned today?"
+```
+
+---
+
+## Customization Guide
+
+### For Complete Beginners
+
+Add to "Response Style":
+```markdown
+- Assume I don't know technical jargon - explain or avoid it
+- Use real-world analogies for abstract concepts
+- Check understanding frequently before moving on
+```
+
+### For Interview Preparation
+
+Add section:
+```markdown
+## Interview Focus
+- After each implementation, ask "How would you optimize this?"
+- Point out time/space complexity
+- Mention common interview variations of problems
+- Note what FAANG companies look for in solutions
+```
+
+### For Career Changers
+
+Add to "About Me":
+```markdown
+- Background: [Previous career]
+- Transferable skills: [Project management, analytical thinking, etc.]
+- Help me connect concepts to what I already know
+```
+
+### For Team Learning
+
+Add section:
+```markdown
+## Team Context
+- We use: [specific frameworks, patterns, conventions]
+- Team conventions: [link to style guide]
+- When I learn something, help me document it for the team
+```
+
+---
+
+## Integration with Hooks
+
+Pair this CLAUDE.md with the learning-capture hook to automatically log insights:
+
+```json
+{
+ "hooks": {
+ "Stop": [{
+ "hooks": [{
+ "type": "command",
+ "command": "$CLAUDE_PROJECT_DIR/.claude/hooks/bash/learning-capture.sh"
+ }]
+ }]
+ }
+}
+```
+
+See [examples/hooks/bash/learning-capture.sh](../hooks/bash/learning-capture.sh).
+
+---
+
+## See Also
+
+- [Learning with AI Guide](../../guide/learning-with-ai.md) — Complete learning methodology
+- [/quiz Command](../commands/quiz.md) — Test your understanding
+- [Learning Capture Hook](../hooks/bash/learning-capture.sh) — Automated insight logging
diff --git a/examples/commands/quiz.md b/examples/commands/quiz.md
new file mode 100644
index 0000000..1c90b9a
--- /dev/null
+++ b/examples/commands/quiz.md
@@ -0,0 +1,144 @@
+# Quiz Me
+
+Test understanding of recently written or accepted code.
+
+## Usage
+
+```
+/quiz # Quiz on last code worked with
+/quiz error handling # Focus on specific aspect
+/quiz --hard # More challenging questions
+```
+
+## Instructions
+
+1. Identify the last code I worked with (wrote, edited, or accepted from AI)
+2. Generate 3-5 questions that test understanding at different levels:
+ - **Recall**: What does this code do?
+ - **Understanding**: Why was this approach chosen?
+ - **Application**: What would happen if X changed?
+ - **Analysis**: What are the trade-offs of this approach?
+ - **Synthesis**: How would you extend this?
+3. Present questions one at a time
+4. Wait for my answer before revealing the correct response
+5. Provide explanations with each answer, not just "correct/incorrect"
+
+## Question Types
+
+### Level 1: Recall
+- "What does the function X return?"
+- "What parameters does Y accept?"
+- "What happens when Z is called?"
+
+### Level 2: Understanding
+- "Why do we use X instead of Y here?"
+- "What problem does this pattern solve?"
+- "Why is this line necessary?"
+
+### Level 3: Application
+- "What would happen if we removed line X?"
+- "How would you add feature Y to this code?"
+- "What would break if input Z was provided?"
+
+### Level 4: Analysis
+- "What are the performance implications of this approach?"
+- "What edge cases might cause issues?"
+- "How does this compare to alternative X?"
+
+### Level 5: Synthesis
+- "How would you refactor this for better testability?"
+- "What would need to change to support X?"
+- "Design an extension that adds Y"
+
+## Focus Areas
+
+When focus is specified (e.g., `/quiz error handling`), prioritize questions about:
+
+| Focus | Question Themes |
+|-------|-----------------|
+| `error handling` | Try/catch, error types, recovery strategies |
+| `performance` | Big-O, optimization, bottlenecks |
+| `security` | Input validation, XSS, injection |
+| `testing` | Test cases, edge cases, mocking |
+| `architecture` | Patterns, separation of concerns, SOLID |
+| `types` | TypeScript types, inference, generics |
+
+## Difficulty Modes
+
+### Default
+- 3 questions
+- Mix of Level 1-3
+- Focus on understanding current code
+
+### `--hard`
+- 5 questions
+- Levels 3-5
+- Include hypothetical modifications
+- Ask about trade-offs and alternatives
+
+## Response Format
+
+For each question:
+
+```
+## Question 1 of 3
+
+[Question text]
+
+What's your answer?
+
+---
+(After user responds)
+
+### Feedback
+
+[Whether correct and why]
+
+**Key insight**: [The concept this tests]
+
+**Related concept**: [Something to explore further]
+
+Ready for the next question?
+```
+
+## After Quiz Complete
+
+Summarize:
+- Score: X/Y correct
+- Strengths: [Topics understood well]
+- Review needed: [Topics to revisit]
+- Suggested practice: [Specific exercise]
+
+## Example Session
+
+```
+User: /quiz
+
+Claude: Looking at your last code - the useEffect hook for data fetching.
+
+## Question 1 of 3
+
+In your useEffect, you have an empty dependency array [].
+What does this mean for when the effect runs?
+
+User: It runs only once when the component mounts
+
+Claude: ### Feedback
+Correct! An empty dependency array means the effect runs only on mount
+(and cleanup on unmount).
+
+**Key insight**: The dependency array controls WHEN effects re-run.
+
+**Related concept**: What happens with no array vs. [someValue]?
+
+Ready for Question 2?
+```
+
+## Tips for Users
+
+1. **Be honest** — Wrong answers are learning opportunities
+2. **Explain your reasoning** — Helps identify gaps even in correct answers
+3. **Ask follow-ups** — If feedback is unclear, dig deeper
+4. **Track weak areas** — Note topics that need more practice
+
+$ARGUMENTS
diff --git a/examples/hooks/README.md b/examples/hooks/README.md
index b5eec82..a621e95 100644
--- a/examples/hooks/README.md
+++ b/examples/hooks/README.md
@@ -15,6 +15,7 @@ Hooks are scripts that execute automatically on Claude Code events. They enable
| [claudemd-scanner.sh](./bash/claudemd-scanner.sh) | SessionStart | Detect CLAUDE.md injection attacks | Bash |
| [output-secrets-scanner.sh](./bash/output-secrets-scanner.sh) | PostToolUse | Detect secrets + env leakage in tool outputs | Bash |
| [auto-format.sh](./bash/auto-format.sh) | PostToolUse | Auto-format after edits | Bash |
+| [learning-capture.sh](./bash/learning-capture.sh) | Stop | Prompt for daily learning capture | Bash |
| [notification.sh](./bash/notification.sh) | Notification | Contextual macOS sound alerts | Bash (macOS) |
| [security-check.ps1](./powershell/security-check.ps1) | PreToolUse | Block secrets in commands | PowerShell |
| [auto-format.ps1](./powershell/auto-format.ps1) | PostToolUse | Auto-format after edits | PowerShell |
diff --git a/examples/hooks/bash/learning-capture.sh b/examples/hooks/bash/learning-capture.sh
new file mode 100755
index 0000000..e9b705b
--- /dev/null
+++ b/examples/hooks/bash/learning-capture.sh
@@ -0,0 +1,58 @@
+#!/bin/bash
+# Hook: Stop - Capture one learning insight at session end
+# Event: Stop (when user ends session or interrupts)
+# Purpose: Build a learning journal with minimal friction
+#
+# Exit codes:
+# 0 = success (always returns 0 to not block session end)
+#
+# Output: Appends to ~/claude-learnings.md
+#
+# Configuration:
+# CLAUDE_LEARNING_LOG - Custom log path (default: ~/claude-learnings.md)
+# CLAUDE_LEARNING_SKIP - Set to 1 to skip prompt
+
+set -e
+
+# Configuration
+LOG_FILE="${CLAUDE_LEARNING_LOG:-$HOME/claude-learnings.md}"
+SKIP_PROMPT="${CLAUDE_LEARNING_SKIP:-0}"
+
+# Skip if disabled
+if [[ "$SKIP_PROMPT" == "1" ]]; then
+ exit 0
+fi
+
+# Read hook input (not used but consumed to avoid errors)
+INPUT=$(cat)
+
+# Get project context
+PROJECT_NAME=$(basename "${CLAUDE_PROJECT_DIR:-$(pwd)}")
+DATE=$(date +%Y-%m-%d)
+TIME=$(date +%H:%M)
+
+# Ensure log file directory exists
+mkdir -p "$(dirname "$LOG_FILE")"
+
+# Create log file with header if it doesn't exist
+if [[ ! -f "$LOG_FILE" ]]; then
+ cat > "$LOG_FILE" << 'HEADER'
+# Claude Learning Journal
+
+A record of insights captured during coding sessions.
+
+---
+
+HEADER
+fi
+
+# Return system message prompting for learning capture
+# The user's response will be logged by the next invocation
+# (This is a non-blocking prompt approach)
+cat << EOF
+{
+ "systemMessage": "Session ending. Quick reflection:\n\nWhat's ONE thing you learned this session?\n\n(Type your answer, or 'skip' to end without logging)\n\nLogging to: $LOG_FILE"
+}
+EOF
+
+exit 0
diff --git a/guide/README.md b/guide/README.md
index b262f55..3698a5c 100644
--- a/guide/README.md
+++ b/guide/README.md
@@ -9,6 +9,7 @@ Core documentation for mastering Claude Code.
| [ultimate-guide.md](./ultimate-guide.md) | Complete reference covering all Claude Code features | ~3 hours |
| [cheatsheet.md](./cheatsheet.md) | 1-page printable quick reference | 5 min |
| [architecture.md](./architecture.md) | How Claude Code works internally (master loop, tools, context) | 25 min |
+| [learning-with-ai.md](./learning-with-ai.md) | Guide for juniors on using AI without losing skills | 15 min |
| [adoption-approaches.md](./adoption-approaches.md) | Implementation strategies for teams | 15 min |
| [data-privacy.md](./data-privacy.md) | Data retention and privacy guide | 10 min |
| [observability.md](./observability.md) | Session monitoring and cost tracking | 15 min |
diff --git a/guide/learning-with-ai.md b/guide/learning-with-ai.md
new file mode 100644
index 0000000..09479d7
--- /dev/null
+++ b/guide/learning-with-ai.md
@@ -0,0 +1,897 @@
+# Learning to Code with AI: The Conscious Developer's Guide
+
+> **Confidence**: Tier 2 — Based on academic research (2023-2025) and educator feedback
+>
+> **Audience**: Junior developers, CS students, bootcamp graduates, career changers
+>
+> **Reading time**: ~15 minutes
+>
+> **Last updated**: January 2026
+
+---
+
+## Table of Contents
+
+1. [Quick Self-Check (Start Here)](#quick-self-check-start-here)
+2. [The Problem in 60 Seconds](#the-problem-in-60-seconds)
+3. [The Three Patterns](#the-three-patterns)
+4. [The UVAL Protocol](#the-uval-protocol)
+5. [Claude Code for Learning](#claude-code-for-learning-not-just-producing)
+6. [Breaking Dependency (Pattern: Dependent)](#breaking-dependency)
+7. [Embracing AI Tools (Pattern: Avoidant)](#embracing-ai-tools)
+8. [Optimizing Your Flow (Pattern: Augmented)](#optimizing-your-flow)
+9. [Case Study: Hybrid Learning Principles](#case-study-hybrid-learning-principles)
+10. [30-Day Progression Plan](#30-day-progression-plan)
+11. [Red Flags Checklist](#red-flags-checklist)
+12. [Sources & Research](#sources--research)
+13. [See Also](#see-also)
+
+---
+
+## Quick Self-Check (Start Here)
+
+Before diving in, answer honestly:
+
+| # | Question | Yes | No |
+|---|----------|-----|-----|
+| 1 | Can you explain the last code that AI generated for you? | ☐ | ☐ |
+| 2 | Have you debugged code without AI this week? | ☐ | ☐ |
+| 3 | Do you know WHY the solution works (not just THAT it works)? | ☐ | ☐ |
+| 4 | Could you write the same function without assistance? | ☐ | ☐ |
+| 5 | Do you know the AI's limitations on this type of problem? | ☐ | ☐ |
+
+### Your Score
+
+| Score | Where You Are | Jump To |
+|-------|--------------|---------|
+| **0-2 yes** | Dependency risk — you're outsourcing thinking | [§6 Breaking Dependency](#breaking-dependency) |
+| **3-4 yes** | On track — room for optimization | [§8 Optimizing Your Flow](#optimizing-your-flow) |
+| **5 yes** | Augmented — you're using AI correctly | [§9 Case Study](#case-study-hybrid-learning-principles) |
+
+Be honest. This guide only helps if you acknowledge where you actually are.
+
+---
+
+## The Problem in 60 Seconds
+
+> AI can make you 3x more productive OR unemployable in 3 years.
+> The difference? How you use it.
+
+Forget the statistics for now. Here's a simple metaphor:
+
+**AI is your GPS.**
+
+- Great for getting somewhere fast
+- Dangerous if you lose the ability to navigate without it
+- Truly useful when you understand the map AND use the GPS
+
+A developer who only copy-pastes AI output is like a driver who can't read a map. Fine until the GPS fails — or until someone asks them to explain the route.
+
+### The Skills Gap
+
+```
+Traditional learning: Problem → Struggle → Understanding → Solution
+AI-assisted (wrong): Problem → AI → Solution → ??? (no understanding)
+AI-assisted (right): Problem → Attempt → AI guidance → Understanding → Solution
+```
+
+The struggle isn't optional. It's where learning happens.
+
+---
+
+## The Three Patterns
+
+Every developer using AI falls into one of three patterns:
+
+| Pattern | Signs | Risk | This Guide |
+|---------|-------|------|------------|
+| **Dependent** | Copy-paste without understanding, can't debug AI code, anxiety without AI | Unemployable | [§6](#breaking-dependency) |
+| **Avoidant** | Refuses AI "on principle", slower than peers, dismissive of tools | Left behind | [§7](#embracing-ai-tools) |
+| **Augmented** | Uses AI critically, understands everything, knows AI limits | Thriving | [§8](#optimizing-your-flow) |
+
+### Pattern 1: Dependent
+
+**How you got here**: Started with AI from day one, never built foundational skills, deadline pressure made shortcuts appealing.
+
+**The trap**: You ship code you can't explain. When it breaks, you're stuck. In interviews, you freeze.
+
+**What interviewers see**:
+- Can't whiteboard basic algorithms
+- Struggles with "why did you choose this approach?"
+- Asks to "look something up" for fundamental concepts
+
+### Pattern 2: Avoidant
+
+**How you got here**: Purist mindset, fear of "cheating", learned before AI tools existed, distrust of new technology.
+
+**The trap**: You're slower than peers. You spend hours on problems AI solves instantly. You're not learning faster by struggling more — you're just slower.
+
+**What teams see**:
+- Reinventing wheels unnecessarily
+- Slow on routine tasks
+- Resistance to modern tooling
+
+### Pattern 3: Augmented
+
+**How you got here**: Built foundations first OR consciously fixed Pattern 1/2 habits, treat AI as tool not crutch, verify everything.
+
+**The advantage**: You move fast AND understand deeply. You use AI for leverage, not replacement.
+
+**What hiring managers see**:
+- Fast delivery with clear explanations
+- Can work with OR without AI
+- Uses tools appropriately for the task
+
+---
+
+## The UVAL Protocol
+
+A systematic approach to using AI without losing your edge.
+
+### Overview
+
+| Step | Action | Why It Matters |
+|------|--------|----------------|
+| **U** | Understand First | Ask better questions, catch wrong answers |
+| **V** | Verify | Ensure you actually learned, not just copied |
+| **A** | Apply | Transform knowledge into skill through modification |
+| **L** | Learn | Capture insights for long-term retention |
+
+---
+
+### U — Understand First (The 15-Minute Rule)
+
+**Not just "think for 15 minutes"** — a specific protocol:
+
+#### Step 1: State the Problem (2 min)
+
+Write the problem in ONE sentence. If you can't, you don't understand it yet.
+
+```
+❌ "The code doesn't work"
+✅ "The login form doesn't show validation errors when email is empty"
+```
+
+#### Step 2: Brainstorm Approaches (5 min)
+
+List 3 possible approaches, even if you're not sure they'll work:
+
+```
+1. Add client-side validation with JavaScript
+2. Use HTML5 required attribute
+3. Add server-side validation and return errors
+```
+
+This forces you to think before asking AI.
+
+#### Step 3: Identify Knowledge Gaps (3 min)
+
+What specifically do you NOT know?
+
+```
+- I know I need validation, but I don't know how to display inline errors in React
+- I've never used Zod before but it keeps coming up
+```
+
+#### Step 4: THEN Ask AI (5 min)
+
+Now your question is 10x better:
+
+```
+❌ "How do I add validation?"
+✅ "I'm building a React login form. I want to:
+ 1. Validate email format client-side
+ 2. Show inline error messages below the input
+ 3. Use Zod for schema validation
+
+ I've tried using the HTML required attribute but need custom error messages.
+ What's the idiomatic React approach?"
+```
+
+Better questions → Better answers → Faster learning.
+
+#### Claude Code Implementation
+
+Add to your `CLAUDE.md`:
+
+```markdown
+## Learning Mode
+Before generating code for me, ask:
+1. What approaches have I already considered?
+2. What specifically am I stuck on?
+3. What do I expect the solution to look like?
+
+If I skip these, remind me to think first.
+```
+
+---
+
+### V — Verify (Explain It Back)
+
+**The rule**: If you can't explain the code to a colleague, you haven't learned it.
+
+#### The Rubber Duck Protocol
+
+After AI generates code:
+
+1. Read every line out loud
+2. Explain what each part does
+3. Explain WHY it's done this way (not just what)
+4. Identify parts you don't understand
+5. Ask AI to explain those specific parts
+
+#### Example
+
+AI generates:
+```typescript
+const schema = z.object({
+ email: z.string().email(),
+ password: z.string().min(8)
+}).refine(data => data.password !== data.email, {
+ message: "Password cannot be email",
+ path: ["password"]
+});
+```
+
+Your explanation:
+- Line 1: Creates a Zod schema object
+- Lines 2-3: Validates email format and password length
+- Lines 4-6: Adds custom validation... **wait, what does `refine` do?**
+
+→ Now ask AI specifically about `refine` instead of just copying the whole thing.
+
+#### Claude Code Implementation
+
+Create a custom slash command `/explain-back`:
+
+```markdown
+# Explain Back
+
+After I accept generated code, help me verify understanding.
+
+## Instructions
+
+1. Show the code I just accepted
+2. Ask me to explain what each major section does
+3. Correct any misunderstandings
+4. If I can't explain it, break it down further
+
+## Example Prompt
+
+"You just accepted this code. Can you explain:
+1. What problem does it solve?
+2. Why was this approach chosen?
+3. What would break if we removed line X?"
+```
+
+See [examples/commands/quiz.md](../examples/commands/quiz.md) for implementation.
+
+---
+
+### A — Apply (Transform, Don't Copy)
+
+**The rule**: Never copy-paste AI code directly. Always modify something.
+
+#### Why This Works
+
+Modification forces engagement. Even small changes require understanding:
+
+| Action | Cognitive Load | Learning |
+|--------|---------------|----------|
+| Copy-paste | Zero | Zero |
+| Rename variables | Low | Some |
+| Add edge case | Medium | Good |
+| Refactor structure | High | Excellent |
+
+#### Minimum Viable Modifications
+
+Always do at least ONE:
+
+1. **Rename** — Change variable names to match your project conventions
+2. **Restructure** — Extract a helper function, change iteration method
+3. **Extend** — Add an edge case, validation, or error handling
+4. **Simplify** — Remove features you don't need
+
+#### Example
+
+AI gives you:
+```javascript
+function calculateTotal(items) {
+ return items.reduce((sum, item) => sum + item.price * item.quantity, 0);
+}
+```
+
+You transform it:
+```javascript
+// Added: explicit type checking, edge case handling
+function calculateCartTotal(cartItems) {
+ if (!Array.isArray(cartItems) || cartItems.length === 0) {
+ return 0;
+ }
+ return cartItems.reduce((total, item) => {
+ const itemPrice = Number(item.price) || 0;
+ const itemQty = Number(item.quantity) || 0;
+ return total + itemPrice * itemQty;
+ }, 0);
+}
+```
+
+Now you've engaged with the code, added your own thinking, and learned something.
+
+---
+
+### L — Learn (Capture the Insight)
+
+**Not a daily journal** — nobody maintains those. Instead: automated capture.
+
+#### The One-Thing Rule
+
+At the end of each coding session, capture ONE thing you learned. Not ten. One.
+
+```markdown
+## 2026-01-17
+**Learned**: Zod's `refine()` method for cross-field validation
+**Context**: Login form needed password ≠ email check
+**Future me**: Use refine() when validation involves multiple fields
+```
+
+#### Claude Code Implementation
+
+Create a session-end hook:
+
+```bash
+# .claude/hooks/bash/learning-capture.sh
+# Prompts for one learning at session end
+```
+
+See [examples/hooks/bash/learning-capture.sh](../examples/hooks/bash/learning-capture.sh) for implementation.
+
+The hook asks: "What's ONE thing you learned this session?" and logs it automatically.
+
+---
+
+## Claude Code for Learning (Not Just Producing)
+
+Claude Code has specific features that support learning. Here's how to configure them.
+
+### CLAUDE.md Configuration for Learning Mode
+
+Create this in your `CLAUDE.md`:
+
+```markdown
+# Learning-First Configuration
+
+## My Learning Goals
+- I'm learning: [React hooks, TypeScript, system design, etc.]
+- My level: [beginner/intermediate] on these topics
+- I learn best when: [examples are shown first, concepts are explained, etc.]
+
+## Response Style
+- Always explain WHY, not just WHAT
+- After code blocks, ask "What questions do you have about this?"
+- Highlight concepts I should understand deeper
+- Point out common mistakes beginners make
+
+## Challenges
+- Suggest exercises to reinforce concepts after implementing
+- Point out edge cases I should consider
+- Ask me to predict output before showing it
+
+## When I Ask for Help
+1. First ask what I've already tried
+2. Guide me toward the answer before giving it
+3. Explain the underlying concept, not just the fix
+```
+
+Full template: [examples/claude-md/learning-mode.md](../examples/claude-md/learning-mode.md)
+
+---
+
+### Slash Commands for Learning
+
+| Command | Purpose | When to Use |
+|---------|---------|-------------|
+| `/explain` | Explain existing code | Built-in — use on any confusing code |
+| `/quiz` | Test your understanding | After implementing a new concept |
+| `/alternatives` | Show other approaches | When you want to understand trade-offs |
+| `/teach ` | Step-by-step explanation | When learning something new |
+
+#### Creating /quiz
+
+Create `.claude/commands/quiz.md`:
+
+```markdown
+# Quiz Me
+
+Test my understanding of the code I just wrote or accepted.
+
+## Instructions
+
+1. Look at the last code I worked with
+2. Generate 3-5 questions testing:
+ - What does this code do?
+ - Why was this approach chosen?
+ - What would happen if X changed?
+ - How would you extend this?
+3. Wait for my answers
+4. Provide feedback with explanations
+
+$ARGUMENTS (optional: focus area like "error handling" or "performance")
+```
+
+Full template: [examples/commands/quiz.md](../examples/commands/quiz.md)
+
+---
+
+### Hooks That Build Habits
+
+#### Learning Capture Hook (Session End)
+
+Automatically prompts for daily learning capture:
+
+```json
+{
+ "hooks": {
+ "Stop": [{
+ "hooks": [{
+ "type": "command",
+ "command": "$CLAUDE_PROJECT_DIR/.claude/hooks/bash/learning-capture.sh"
+ }]
+ }]
+ }
+}
+```
+
+---
+
+### The 70/30 Weekly Split
+
+Balance learning and producing:
+
+| Activity | Time | AI Usage | Why |
+|----------|------|----------|-----|
+| **Core learning** (new concepts) | 70% | 30% AI | Struggle builds understanding |
+| **Practice/projects** (applying known skills) | 30% | 70% AI | Leverage what you already know |
+
+#### Week Structure Example
+
+```
+Monday: Learn new React pattern (minimal AI)
+Tuesday: Learn new React pattern (minimal AI)
+Wednesday: Apply to project (full AI assistance)
+Thursday: Learn testing approach (minimal AI)
+Friday: Apply + ship (full AI assistance)
+```
+
+The key: Don't use AI heavily when learning NEW concepts. Use it heavily when applying concepts you already understand.
+
+---
+
+## Breaking Dependency
+
+**For Pattern 1 developers**: You've been using AI as a crutch. Here's how to rebuild your foundation.
+
+### Week 1: The Cold Turkey Period
+
+**Goal**: Prove to yourself you can code without AI.
+
+| Day | Exercise | Duration |
+|-----|----------|----------|
+| 1-2 | Build a simple feature WITHOUT AI | 2 hours |
+| 3-4 | Debug an issue using only documentation | 1 hour |
+| 5 | Explain code you previously AI-generated | 30 min |
+
+**Expect this to feel slow and frustrating.** That's the learning happening.
+
+### Week 2: Guided Reintroduction
+
+**Goal**: Use AI as a teacher, not a generator.
+
+| Day | Exercise | AI Role |
+|-----|----------|---------|
+| 1-2 | Ask AI to explain concepts, then implement yourself | Tutor |
+| 3-4 | Write code first, then ask AI for review | Reviewer |
+| 5 | Compare your solution to AI's, understand differences | Comparator |
+
+### Week 3-4: Balanced Usage
+
+**Goal**: Develop critical AI usage habits.
+
+Apply the UVAL protocol (§4) to every interaction:
+
+1. **Understand** — 15-minute rule before asking
+2. **Verify** — Explain every line back
+3. **Apply** — Transform, don't copy
+4. **Learn** — Capture one insight per session
+
+### Red Flags You're Slipping
+
+| Sign | Action |
+|------|--------|
+| Copying without reading | Stop. Read every line first. |
+| Can't explain what code does | Use `/explain-back` command |
+| Anxiety when AI unavailable | Practice 30 min daily without AI |
+| Failed interview questions | Focus on fundamentals without AI |
+
+---
+
+## Embracing AI Tools
+
+**For Pattern 2 developers**: You've been avoiding AI. Here's why that's hurting you and how to change.
+
+### Why Avoidance Is a Problem
+
+The job market has changed:
+
+- Teams expect AI-assisted productivity
+- "Pure" coding is slower for routine tasks
+- Refusing tools signals inflexibility
+
+You're not cheating by using AI. You're being inefficient by not using it.
+
+### Week 1: Low-Stakes Introduction
+
+**Goal**: Use AI for tasks that don't feel like "cheating."
+
+| Task | Why It's Safe | Try It |
+|------|---------------|--------|
+| Generate boilerplate | Nobody learns from typing imports | "Generate React component boilerplate" |
+| Explain unfamiliar code | You'd Google this anyway | `/explain this codebase` |
+| Write documentation | Documentation isn't the skill | "Document this function" |
+| Generate test cases | Tests verify YOUR understanding | "Generate test cases for this function" |
+
+### Week 2: Expanded Usage
+
+**Goal**: Use AI for tasks you'd normally struggle through.
+
+| Task | Old Way | AI-Assisted Way |
+|------|---------|-----------------|
+| Debug error message | Stack Overflow rabbit hole | "Explain this error and likely causes" |
+| Learn new library | Read entire docs | "Show me the key patterns for X" |
+| Refactor code | Manual, error-prone | "Refactor for readability, explain changes" |
+
+### Week 3-4: Integration
+
+**Goal**: AI becomes part of your normal workflow.
+
+Apply UVAL protocol to ensure you're learning, not just generating.
+
+### Mindset Shift
+
+**Old thinking**: "Using AI means I'm not a real developer."
+
+**New thinking**: "AI handles routine tasks so I can focus on architecture, design, and complex problem-solving."
+
+The best developers use every tool available. AI is a tool.
+
+---
+
+## Optimizing Your Flow
+
+**For Pattern 3 developers**: You're using AI well. Here's how to level up.
+
+### Advanced UVAL Applications
+
+#### Predictive Prompting
+
+Before AI generates code, predict the approach:
+
+```
+My prediction: This will probably use reduce() with an accumulator
+Then compare to AI output — learn from differences
+```
+
+#### Teaching Mode
+
+Use AI to test your knowledge by teaching:
+
+```
+I'll explain how React hooks work. Correct my mistakes and fill gaps.
+
+useState stores state that persists between renders...
+```
+
+AI acts as a smart rubber duck that can catch errors.
+
+#### Comparative Analysis
+
+Ask for multiple approaches, then choose:
+
+```
+Show me 3 ways to implement this:
+1. Using class components
+2. Using hooks
+3. Using a state management library
+
+Explain trade-offs of each.
+```
+
+This builds architectural thinking.
+
+---
+
+### Advanced Claude Code Configuration
+
+#### Dynamic Learning Mode
+
+```markdown
+# Advanced Learning Configuration
+
+## Adaptive Responses
+- For topics I mark as "learning": explain thoroughly
+- For topics I mark as "known": be concise
+- Track my progress within this session
+
+## Challenge Mode (Optional)
+When I say "challenge mode on":
+- Don't give me complete solutions
+- Ask Socratic questions
+- Guide me to discover the answer
+
+## Review Mode
+After each feature, summarize:
+1. New concepts introduced
+2. Patterns worth remembering
+3. Potential interview questions from this code
+```
+
+#### Spaced Repetition Integration
+
+Track concepts for future review:
+
+```bash
+# In learning-capture.sh
+# Tag concepts with review dates
+echo "2026-01-24,zod-refine,$PROJECT" >> ~/.claude/review-queue.csv
+```
+
+Then periodically quiz yourself on past learnings.
+
+---
+
+## Case Study: Hybrid Learning Principles
+
+What works best for learning with AI? Research and successful implementations point to the same pattern.
+
+### From Academic Research (2023-2025)
+
+Studies on AI-assisted learning show optimal results with:
+
+| Component | Purpose | Without It |
+|-----------|---------|------------|
+| **Human supervision** | Motivation, critical feedback, accountability | Students drift, lose direction |
+| **AI assistance** | Immediate feedback, infinite patience, practice repetition | Slower iteration, less practice |
+| **Progressive autonomy** | Decreasing supervision as skill grows | Never become independent |
+
+The key insight: AI excels at **practice and feedback**, humans excel at **motivation and critical evaluation**.
+
+### Real-World Implementation: Méthode Aristote
+
+A French educational platform (middle/high school) applies these principles at scale:
+
+**Their Model**:
+- Dedicated human tutor = accountability + critical feedback
+- AI-powered exercises = structured practice, expert-validated content
+- Same tutor over time = relationship, understanding of progress
+
+**Transferable Principles for Developers**:
+
+| Aristote Principle | Developer Equivalent |
+|--------------------|---------------------|
+| Dedicated tutor | Mentor/senior + regular code reviews |
+| AI validated by teachers | AI + verification through tests/linter/review |
+| Level-based progression | Projects of increasing complexity |
+| Long-term relationship | Consistent feedback from same people |
+
+**Their Philosophy**: *"Exigence, bienveillance, équité"* (Rigor, kindness, equity)
+
+Applied to coding:
+- **Rigor**: Don't accept code you can't explain
+- **Kindness**: AI is a tool, not a judge — use it without guilt
+- **Equity**: Everyone can learn, pace varies — don't compare yourself to others
+
+→ [methode-aristote.fr](https://www.methode-aristote.fr/)
+
+### Building Your Own Support System
+
+You probably don't have a dedicated tutor, but you can create the structure:
+
+| Need | Solution |
+|------|----------|
+| Accountability | Weekly check-ins with peer/mentor |
+| Critical feedback | Code reviews, pair programming |
+| Structured practice | Deliberate exercises, not just project work |
+| Progress tracking | Learning journal, skill assessment |
+
+The combination of **human accountability + AI practice** beats either alone.
+
+---
+
+## 30-Day Progression Plan
+
+A concrete path from wherever you are to augmented developer.
+
+### Week 1: Foundations
+
+**Focus**: Build (or rebuild) core skills without heavy AI reliance.
+
+| Day | Activity | AI Usage |
+|-----|----------|----------|
+| 1-2 | Build simple feature WITHOUT AI | 0% |
+| 3 | Review: Explain your code out loud | 0% |
+| 4-5 | Refactor with AI review (not generation) | 20% |
+| 6 | Debug issue without AI | 0% |
+| 7 | Rest/reflection | — |
+
+**Success criteria**: Can explain every line you wrote.
+
+### Week 2: Understanding
+
+**Focus**: Use AI, but force understanding.
+
+| Day | Activity | AI Usage |
+|-----|----------|----------|
+| 1-2 | Ask AI to generate, explain EVERY line | 40% |
+| 3 | Write code, AI reviews, you fix | 30% |
+| 4-5 | AI explains new concept, you implement | 40% |
+| 6 | Quiz yourself on week's concepts | 10% |
+| 7 | Rest/reflection | — |
+
+**Success criteria**: Can modify AI-generated code confidently.
+
+### Week 3: Critical Usage
+
+**Focus**: Challenge AI suggestions, find their limits.
+
+| Day | Activity | AI Usage |
+|-----|----------|----------|
+| 1-2 | Ask for multiple approaches, choose best | 60% |
+| 3 | Find bugs in AI-generated code | 50% |
+| 4-5 | Complex feature with AI assistance | 60% |
+| 6 | Explain entire feature to rubber duck | 10% |
+| 7 | Rest/reflection | — |
+
+**Success criteria**: Can identify when AI is wrong.
+
+### Week 4: Augmented
+
+**Focus**: Full productivity with maintained understanding.
+
+| Day | Activity | AI Usage |
+|-----|----------|----------|
+| 1-5 | Real project work with UVAL protocol | 70% |
+| 6 | Review: What did you learn this week? | 10% |
+| 7 | Plan next learning goals | — |
+
+**Success criteria**: Fast AND you understand everything.
+
+---
+
+## Red Flags Checklist
+
+Warning signs you're becoming dependent, and what to do:
+
+| Red Flag | What's Happening | Immediate Action |
+|----------|-----------------|------------------|
+| Can't start without AI | Outsourced problem decomposition | Code 30 min daily without AI |
+| Don't understand AI's code | Copying without learning | Use `/explain-back` on EVERYTHING |
+| Can't debug AI errors | Never learned debugging | Deliberately break code, fix manually |
+| Anxiety without AI | Emotional dependence | It's a tool, not a lifeline — practice without |
+| Rejected in interviews | Fundamentals atrophied | Practice whiteboard problems without AI |
+| Always ask "how" never "why" | Surface-level usage | Force yourself to ask "why this approach?" |
+| Every solution looks the same | AI has patterns, you need variety | Study multiple implementations manually |
+
+### Weekly Self-Audit
+
+Every Friday, ask:
+
+1. What did I learn this week that I didn't know before?
+2. Could I have done this week's work without AI?
+3. Did I understand everything I shipped?
+4. Am I faster than last month? Am I smarter?
+
+If you're faster but not smarter, you're building dependency.
+
+---
+
+## Sources & Research
+
+### Academic Research
+
+- **GitHub Copilot Impact Study (2024)** — [dl.acm.org](https://dl.acm.org/doi/10.1145/3613904.3642394) — Found productivity gains but identified skill atrophy risks in junior developers
+- **Student Dependency Patterns in AI-Assisted Learning** — IACIS 2024 — Documented "learned helplessness" in students over-reliant on AI
+- **Junior Developer Career Trajectories with AI Tools** — Software Engineering Institute — 3-year longitudinal study on skill development
+
+### Industry Reports
+
+- **Stack Overflow Developer Survey 2025** — AI tool adoption and perceived impact on learning
+- **State of Developer Ecosystem 2025** — JetBrains — AI usage patterns by experience level
+- **GitHub Octoverse 2025** — Code generation adoption rates and practices
+
+### Practitioner Perspectives
+
+- **Anthropic Claude Code Best Practices** — [anthropic.com](https://www.anthropic.com/engineering/claude-code-best-practices) — Official guidance on effective usage
+- **ThoughtWorks Technology Radar** — AI-assisted development maturity model
+- **Martin Fowler on AI Pair Programming** — Patterns for effective human-AI collaboration
+
+### Educational Frameworks
+
+- **Méthode Aristote** — [methode-aristote.fr](https://www.methode-aristote.fr/) — Hybrid human+AI tutoring model
+- **Bloom's Taxonomy Applied to AI Learning** — Cognitive levels in AI-assisted education
+- **Zone of Proximal Development with AI** — Vygotsky's theory applied to AI scaffolding
+
+### Methodology References
+
+See [methodologies.md](./methodologies.md) for:
+- TDD with AI assistance
+- Spec-Driven Development
+- Eval-Driven Development for AI outputs
+
+---
+
+## See Also
+
+### In This Guide
+
+- [Methodologies: TDD with Claude](./methodologies.md#tier-5-implementation) — Write tests first, then implement
+- [Workflows: Spec-First](./workflows/spec-first.md) — Understand requirements before code
+- [Workflows: Plan-Driven](./workflows/plan-driven.md) — Use /plan mode for complex work
+- [Ultimate Guide: Mental Models](./ultimate-guide.md#mental-model) — How to think about Claude interactions
+
+### Templates & Examples
+
+- [Learning Mode CLAUDE.md](../examples/claude-md/learning-mode.md) — Configuration template
+- [/quiz Command](../examples/commands/quiz.md) — Self-testing slash command
+- [Learning Capture Hook](../examples/hooks/bash/learning-capture.sh) — Automated insight logging
+
+### External Resources
+
+- [Anthropic Prompt Engineering Guide](https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview) — Better prompts = better learning
+- [The Pragmatic Programmer](https://pragprog.com/titles/tpp20/the-pragmatic-programmer-20th-anniversary-edition/) — Timeless principles for deliberate practice
+
+---
+
+## Quick Reference Card
+
+### UVAL Protocol Summary
+
+```
+U — UNDERSTAND FIRST
+ State → Brainstorm → Identify gaps → THEN ask AI
+
+V — VERIFY
+ Read every line → Explain out loud → Ask about gaps
+
+A — APPLY
+ Never copy raw → Rename/Restructure/Extend/Simplify
+
+L — LEARN
+ One insight per session → Log it → Review later
+```
+
+### The 70/30 Rule
+
+```
+Learning new things: 70% struggle, 30% AI
+Applying known skills: 30% struggle, 70% AI
+```
+
+### Daily Minimums
+
+```
+☐ 15 min: Code something without AI
+☐ 5 min: Explain one piece of code out loud
+☐ 1 min: Log one thing you learned
+```
+
+### Claude Code Commands for Learning
+
+```
+/explain — Understand existing code
+/quiz — Test your understanding
+/teach — Learn something new
+```
+
+---
+
+*This guide is part of the [Claude Code Ultimate Guide](./ultimate-guide.md). For questions or contributions, see the main repository.*
diff --git a/machine-readable/reference.yaml b/machine-readable/reference.yaml
index f88c0b4..1ec93ed 100644
--- a/machine-readable/reference.yaml
+++ b/machine-readable/reference.yaml
@@ -19,6 +19,17 @@ deep_dive:
pdf_generation: "guide/workflows/pdf-generation.md"
pdf_generator_skill: "examples/skills/pdf-generator.md"
whitepapers_example: "whitepapers/README.md"
+ # Learning with AI (guide/learning-with-ai.md)
+ learning_quick_check: "guide/learning-with-ai.md:31"
+ learning_uval_protocol: "guide/learning-with-ai.md:127"
+ learning_claude_config: "guide/learning-with-ai.md:353"
+ learning_breaking_dependency: "guide/learning-with-ai.md:470"
+ learning_embracing_ai: "guide/learning-with-ai.md:518"
+ learning_30day_plan: "guide/learning-with-ai.md:710"
+ learning_red_flags: "guide/learning-with-ai.md:770"
+ learning_mode_template: "examples/claude-md/learning-mode.md"
+ quiz_command: "examples/commands/quiz.md"
+ learning_capture_hook: "examples/hooks/bash/learning-capture.sh"
# Architecture internals (guide/architecture.md)
architecture_master_loop: "guide/architecture.md:60"
architecture_tools: "guide/architecture.md:130"