LevelUpWith

Explore / Technology

AI Coder: Claude Code & Coding Agents

Illustrated cover for the course “AI Coder: Claude Code & Coding Agents”

Master vibe coding and autonomous workflows using Claude Code, Cursor, MCP servers, and modern AI coding agent frameworks.

Capable · 18 levels · 2 free · Created Aug 2026 · Professionally curated by levelupwith.com

What's inside

  1. Level 1: Mental Models of AI-Assisted EngineeringFree
    Understand how coding agents think, where context windows break down, and how to shift from manual coding to specification-driven development.
  2. Level 2: Inline Completion Mastery: Copilot & CodexFree
    Leverage GitHub Copilot and OpenAI Codex effectively by steering inline suggestions through prompt comments and active context cues.
  3. Level 3: Context-Aware Editing with Cursor IDE
    Harness Cursor's codebase indexing, composer mode, and custom system rules to generate multi-file edits safely.
  4. Level 4: The Vibe Coding Methodology & Safety Guardrails
    Establish a fast, test-driven vibe coding loop while setting up deterministic git guardrails and linting checks.
  5. Level 5: Getting Started with Claude Code CLI
    Install, authenticate, and configure Anthropic's Claude Code CLI inside real terminal development environments.
  6. Level 6: Claude Code Permissions & Execution Sandbox
    Configure execution permissions, auto-approve boundaries, and sandboxing rules for shell commands and file mutations.
  7. Level 7: Context Compaction & Token Budgeting
    Manage context windows during extended Claude Code sessions using manual compaction, slash commands, and token budgeting.
  8. Level 8: Sub-Agent Task Delegation in Claude Code
    Orchestrate complex engineering tasks by letting Claude Code spawn and manage specialized sub-agents for research and implementation.
  9. Level 9: End-to-End Refactoring with Claude Code
    Execute a full-stack architectural refactor across multiple files and test suites using Claude Code terminal workflows.
  10. Level 10: Introduction to the Model Context Protocol (MCP)
    Learn the architecture of MCP and connect coding agents to external filesystems, databases, and local runtimes.
  11. Level 11: Extending Agents with Custom MCP Servers
    Build and deploy a custom MCP server in TypeScript/Python to expose proprietary internal APIs and debuggers to your agents.
  12. Level 12: Database & API Tooling via MCP
    Empower coding agents to safely inspect live schemas, run read-only queries, and mock external API integrations.
  13. Level 13: Browser Automation & Visual Feedback with MCP
    Integrate headless browser MCP servers to give coding agents visual feedback, DOM inspection, and UI debugging capabilities.
  14. Level 14: OpenCode: Open-Source Terminal Agents
    Run and customize OpenCode using local and open-weights models for privacy-sensitive and offline code generation.
  15. Level 15: Antigravity: Autonomous Issue Resolution
    Deploy Antigravity to monitor repositories, ingest bug reports, reproduce failures, and generate patch pull requests.
  16. Level 16: OpenClaw: Multi-Agent Swarm Architectures
    Architect multi-agent engineering swarms using OpenClaw to divide roles into Product Manager, Architect, Coder, and QA.
  17. Level 17: Self-Healing Test Suites & Automated Debugging
    Create automated feedback loops where failing integration tests trigger autonomous multi-agent root-cause analysis and repair.
  18. Level 18: Capstone: Production Vibe Coding Orchestration Exam
    Plan, scaffold, implement, test, and ship a complete full-stack feature from scratch using an orchestrated multi-agent harness.

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.

Start free →