docs: add Myths vs Reality appendix + TeammateTool documentation
- Appendix D: Myths vs Reality - Myth: Hidden features with secret flags - Myth: Tasks API = autonomous agents - Myth: 100x faster claims - Reality: Documented strengths of Claude Code - How to spot reliable vs unreliable sources - New: TeammateTool experimental feature documentation - Multi-agent orchestration capabilities - Execution backends (in-process, tmux, iTerm2) - Usage patterns (parallel specialists, swarm) - Clear warnings about experimental status - Community sources cited - Cheatsheet: Features Méconnues (But Official!) section - Tasks API, Background Agents, TeammateTool - Session Forking, LSP Tool - Pro tip: Read the CHANGELOG - Reference.yaml: Added line numbers for new sections - Resource evaluation: Rejected low-quality social media post (docs/resource-evaluations/2026-01-27-claude-code-hidden-feature-social-post.md) Addresses community misinformation while documenting real experimental features with proper sourcing.
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---
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## Features Méconnues (But Official!)
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| Feature | Since | What It Does |
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|---------|-------|--------------|
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| **Tasks API** | v2.1.16 | Persistent task lists with dependencies |
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| **Background Agents** | v2.0.60 | Sub-agents work while you code |
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| **TeammateTool** | Experimental | Multi-agent coordination (unstable) |
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| **Session Forking** | v2.1.19 | Rewind + create parallel timeline |
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| **LSP Tool** | v2.0.74 | Code intelligence (go-to-def, refs) |
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**Pro tip**: These aren't "secrets"—they're in the [CHANGELOG](https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md). Read it!
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---
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## Permission Modes
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| Mode | Editing | Execution |
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@ -3291,6 +3291,62 @@ The `Task` tool spawns sub-agents with:
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This prevents context pollution during exploratory tasks.
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### TeammateTool (Experimental)
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**Status**: Partially feature-flagged, progressive rollout in progress.
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TeammateTool enables **multi-agent orchestration** with persistent communication between agents. Unlike standard sub-agents that work in isolation, teammates can coordinate through structured messaging.
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**Core Capabilities**:
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| Operation | Purpose |
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|-----------|---------|
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| `spawnTeam` | Create a named team of agents |
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| `discoverTeams` | List available teams |
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| `requestJoin` | Agent requests to join a team |
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| `approveJoin` | Team leader approves join requests |
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| Messaging | JSON-based inter-agent communication |
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**Execution Backends** (auto-detected):
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- **In-process**: Async tasks in same Node.js process (fastest)
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- **tmux**: Persistent terminal sessions (survives disconnects)
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- **iTerm2**: Visual split panes (macOS only)
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**Patterns**:
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```
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Parallel Specialists Pattern:
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Leader spawns 3 teammates → Each reviews different aspect (security, perf, architecture)
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→ Teammates work concurrently → Report back to leader → Leader synthesizes
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Swarm Pattern:
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Leader creates shared task queue → Teammates self-organize and claim tasks
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→ Independent execution → Async updates to shared state
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```
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**Limitations**:
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- 5-minute heartbeat timeout before auto-removal
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- Cannot cleanup teams while teammates are active
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- Feature flags not officially documented (community-discovered)
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- No official Anthropic support for experimental features
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**When to Use**:
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- Large codebases requiring parallel analysis (4+ aspects)
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- Long-running workflows with independent sub-tasks
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- Code reviews with multiple specialized concerns
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**When NOT to Use**:
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- Simple tasks (overhead not justified)
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- Sequential dependencies (standard sub-agents sufficient)
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- Production-critical workflows (experimental = unstable)
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**Sources**:
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- **Community**: [kieranklaassen - TeammateTool Guide](https://gist.github.com/kieranklaassen/4f2aba89594a4aea4ad64d753984b2ea)
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- **Community**: [GitHub Issue #3013 - Parallel Agent Execution](https://github.com/anthropics/claude-code/issues/3013)
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- **Community**: [mikekelly/claude-sneakpeek](https://github.com/mikekelly/claude-sneakpeek) - Parallel build with feature flags enabled
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> ⚠️ **Note**: This is an experimental feature. Capabilities may change or be removed in future releases. Always verify current behavior with official documentation.
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### The Philosophy
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> "Do more with less. Smart architecture choices, better training efficiency, and focused problem-solving can compete with raw scale."
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@ -15198,6 +15254,146 @@ This guide systematically evaluates external resources (tools, methodologies, ar
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---
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## Appendix D: Myths vs Reality
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This section addresses common misconceptions about Claude Code circulating in online communities, social media, and discussions.
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### ❌ Myth: "Claude Code has hidden features you can unlock with secret flags"
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**Reality**: All public features are documented in the [official CHANGELOG](https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md).
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**What people confuse**:
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- **Progressive rollout ≠ Hidden features**: Anthropic uses feature flags for staged deployment (standard industry practice)
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- **Experimental features ≠ Secrets**: Features like TeammateTool exist but are clearly marked as experimental/unstable
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- **Community discovery ≠ Hacking**: When users discover unreleased features in compiled code, that's exploration, not "unlocking secrets"
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**The truth about feature flags**:
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| Flag | Purpose | Status |
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|------|---------|--------|
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| `CLAUDE_CODE_ENABLE_TASKS=false` | **Revert** to old TodoWrite system (v2.1.19+) | Official migration path |
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| TeammateTool flags | Progressive deployment of multi-agent orchestration | Experimental, unstable |
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| Other internal flags | Quality assurance, A/B testing, staged rollout | Not meant for end users |
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**Best practice**: Read the [CHANGELOG](https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md) and official release notes. Features become public when they're stable and documented. Using experimental features via workarounds can cause:
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- Data loss or corruption
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- Crashes and instability
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- Incompatibility with future versions
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- Loss of official support
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**Red flags to watch for** (signs of misinformation):
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- "Hidden feature that will blow your mind!"
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- "Secret trick the devs don't want you to know"
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- No citation of official sources (CHANGELOG, docs, GitHub issues)
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- FOMO language: "If you're not using this, you're falling behind"
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- Dramatic claims: "This changes everything" without evidence
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---
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### ❌ Myth: "Tasks API allows fully autonomous parallel agents"
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**Reality**: The Tasks API (v2.1.16+) enables **coordination** of parallel work, but agents are **not autonomous**.
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**What Tasks API actually does**:
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- Creates a shared task list with dependency tracking
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- Allows main session + sub-agents to coordinate work
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- Persists tasks across sessions for resumption
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- Notifies sessions when tasks complete
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**What it does NOT do**:
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- ❌ Automatically spawn agents for each task
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- ❌ Create self-organizing "swarms" of independent agents
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- ❌ Enable agents to make decisions without human approval
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- ❌ Replace your need to manage and direct the work
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**How parallel execution actually works**:
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```
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You → Create tasks with TaskCreate
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You → Spawn sub-agents with Task tool (explicit action)
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You → Sub-agents work independently in parallel
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You → Sub-agents return summaries
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You → Coordinate next steps
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```
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**Sources**:
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- [CHANGELOG v2.1.16](https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md#2116---2026-01-22) - Official task management release
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- [Section 2.6 - Task Management](ultimate-guide.md#26-task-management) - Full documentation
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---
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### ❌ Myth: "Claude Code is 100x faster than other AI coding tools"
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**Reality**: Performance depends on task complexity, model choice, and how you use the tool. No tool is universally "100x faster."
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**What affects speed**:
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- **Model selection**: Haiku (fast) vs Sonnet (balanced) vs Opus (thorough)
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- **Context management**: Effective use of sub-agents, MCP servers, strategic compaction
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- **Prompt quality**: Clear requirements vs vague instructions
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- **Task complexity**: Simple refactoring vs architectural analysis
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**Honest comparison** (typical use cases):
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| Task | Claude Code | Other Tools | Winner |
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|------|-------------|-------------|--------|
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| Simple edits (typos, formatting) | ~5-10s | ~5-10s | ≈ Tie |
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| Multi-file refactoring | 30-60s | 60-120s | Claude Code (2x) |
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| Complex architecture analysis | 2-5min | 5-15min | Claude Code (3x) |
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| Learning curve (first week) | Moderate | Varies | Depends on tool |
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**The truth**: Claude Code is **powerful and efficient**, but claims of "100x faster" are marketing hyperbole. Real advantage comes from:
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- Deep context window (200K tokens)
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- Smart sub-agent system (prevents context pollution)
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- MCP ecosystem (specialized tools)
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- Strong system prompts (high-quality outputs)
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---
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### ✅ Reality: What Makes Claude Code Actually Special
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**Documented, verifiable strengths**:
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1. **Context Window**: 200K tokens (~150K words) - one of the largest in the industry
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2. **Sub-Agent System**: Isolated context windows prevent pollution during exploration
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3. **MCP Ecosystem**: 100+ community servers for specialized tasks
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4. **Permission System**: Granular control over tool access and dangerous operations
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5. **CLI-First Design**: Terminal integration, git workflows, IDE compatibility
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6. **Transparent Pricing**: Pay-as-you-go, no subscriptions, predictable costs
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7. **Active Development**: Weekly releases with community-driven features
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**Sources**: All claims verifiable in [official documentation](https://code.claude.com/docs) and [CHANGELOG](https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md).
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---
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### How to Spot Reliable Information
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✅ **Trust these sources**:
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- Official [Claude Code documentation](https://code.claude.com/docs)
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- [GitHub CHANGELOG](https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md)
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- [GitHub Issues](https://github.com/anthropics/claude-code/issues) with Anthropic staff responses
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- Community resources citing official sources (like [Claudelog.com](https://claudelog.com/))
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- This guide (with 14 evaluated resources and clear sourcing)
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❌ **Be skeptical of**:
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- Social media posts with no sources
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- "Secret tricks" without CHANGELOG references
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- Percentage claims without benchmarks ("50% faster", "10x productivity")
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- Dramatic language designed to create FOMO
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- Content that discourages reading official docs
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---
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### Contributing to This Section
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Found a new myth circulating online? [Open an issue](https://github.com/FlorianBruniaux/claude-code-ultimate-guide/issues) with:
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- The myth/misconception
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- Where you saw it (platform, approximate reach)
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- Why it's misleading (with sources)
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We'll evaluate and add it to this section if it meets quality criteria.
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---
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## About This Guide
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**End of Guide**
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