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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
- 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. - 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. - 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. - 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. - Level 5: Getting Started with Claude Code CLI
Install, authenticate, and configure Anthropic's Claude Code CLI inside real terminal development environments. - Level 6: Claude Code Permissions & Execution Sandbox
Configure execution permissions, auto-approve boundaries, and sandboxing rules for shell commands and file mutations. - Level 7: Context Compaction & Token Budgeting
Manage context windows during extended Claude Code sessions using manual compaction, slash commands, and token budgeting. - 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. - 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. - 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. - 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. - Level 12: Database & API Tooling via MCP
Empower coding agents to safely inspect live schemas, run read-only queries, and mock external API integrations. - 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. - Level 14: OpenCode: Open-Source Terminal Agents
Run and customize OpenCode using local and open-weights models for privacy-sensitive and offline code generation. - Level 15: Antigravity: Autonomous Issue Resolution
Deploy Antigravity to monitor repositories, ingest bug reports, reproduce failures, and generate patch pull requests. - Level 16: OpenClaw: Multi-Agent Swarm Architectures
Architect multi-agent engineering swarms using OpenClaw to divide roles into Product Manager, Architect, Coder, and QA. - 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. - 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.