10x Developer: Claude Code & LLM Selection Mastery

What's inside

1. Level 1: Installing Claude Code & CLI SetupFree
   Initialize Claude Code in your local environment and authenticate your connection.
2. Level 2: Navigating Core Slash CommandsFree
   Master essential slash commands to control Claude Code execution and session state.
3. Level 3: Model Topography: Haiku, Sonnet, & Opus
   Analyze latency, cost, and reasoning trade-offs across Anthropic model tiers.
4. Level 4: Dynamic Model Switching Strategies
   Switch models on-the-fly inside the CLI based on task complexity.
5. Level 5: Routing Queries to External LLM Providers
   Configure proxy routing to interface with alternative and local LLM endpoints.
6. Level 6: Building a Model Evaluation Matrix
   Construct automated tests to benchmark different models on your codebase.
7. Level 7: Authoring Effective CLAUDE.md Rules
   Create a root CLAUDE.md file to enforce coding standards and system rules.
8. Level 8: Hierarchical Rules in Monorepos
   Implement nested CLAUDE.md files to scoped directories within monorepos.
9. Level 9: Context Optimization with .claudeignore
   Filter unnecessary build artifacts and dependencies from context windows.
10. Level 10: Managing Token Budgets with Memory Compaction
    Prevent context degradation during long-running agent interactions.
11. Level 11: Architecting Codebases for Agentic Discovery
    Structure project directories and signatures to maximize LLM comprehension.
12. Level 12: Strategic File Pinning and Context Pruning
    Explicitly manage active file context to maximize generation precision.
13. Level 13: Agentic Test-Driven Development (TDD)
    Execute automated TDD loops using Claude Code to write and pass tests.
14. Level 14: Multi-File Structural Refactoring
    Orchestrate safe structural modifications across dependent project modules.
15. Level 15: Autonomous Root-Cause Bug Diagnosis
    Trace complex runtime stack traces and isolate bugs across codebase layers.
16. Level 16: Legacy Code Migration Pipelines
    Modernize deprecated code patterns using iterative verification loops.
17. Level 17: Automated Git Workflow and PR Generation
    Integrate Claude Code directly into version control operations.
18. Level 18: Monolith Decoupling & Architecture Refactoring
    Decompose large monolithic methods into modular, testable components.
19. Level 19: Executing Custom Bash Scripts via Claude CLI
    Enable Claude Code to trigger local build tools, linters, and scripts.
20. Level 20: Model Context Protocol (MCP) Integration Setup
    Connect external data sources and tools using Model Context Protocol.
21. Level 21: Model Context Protocol (MCP) Integration
    Connect external databases and APIs to Claude Code using custom and community Model Context Protocol servers.
22. Level 22: Authoring Custom MCP Servers for Local Workflows
    Build domain-specific Model Context Protocol tools to grant Claude Code custom execution capabilities in your repository.
23. Level 23: Pre-Commit Hooks & Headless Terminal Automation
    Embed non-interactive Claude Code executions inside Git pre-commit hooks for automated code quality checks.
24. Level 24: Batch Repositories Scripting via Claude CLI
    Scale Claude Code actions across multi-repository organizations using headless scripting and prompt templates.
25. Level 25: GitHub Actions CI/CD Integration with Claude Code
    Incorporate Claude Code CLI into automated GitHub Actions workflows for continuous code reviewing and automated PR checks.
26. Level 26: Enterprise Sandboxing & Permission Security Guardrails
    Enforce strict isolation and security guardrails around non-interactive agent execution in corporate environments.
27. Level 27: Dynamic Multi-Model Routing & Token Spend Optimization
    Implement routing algorithms to send CLI sub-tasks to the optimal model based on cost, context size, and task complexity.
28. Level 28: Token-Efficient AST Slicing & Caching in CI Pipelines
    Minimize token costs in large-scale automated CI scans by combining Abstract Syntax Tree slicing with prompt caching.
29. Level 29: Autonomous Issue Ingestion & PR Generation Pipelines
    Construct an automated pipeline that ingests issue tickets, executes agentic bug fixes, and submits pull requests.
30. Level 30: Capstone: Enterprise Refactoring & LLM Audit Exam
    Demonstrate complete mastery by refactoring a complex multi-file application, implementing dynamic model routing, and deploying an automated CI pipeline.

Access

The first 2 levels are free with a free account. Every level, the podcast edition and the AI tutor come with All Access at £4.99/month or any Creator plan — see pricing.

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