Cursor Pro

    Cursor Pro – Master AI‑Powered Development

    Get Early Access

    Be the first to know when chapters launch. Join the waitlist for exclusive early‑bird pricing.

    I respect your privacy. Unsubscribe at any time.

    Cursor moves fast. I've taught dozens of Cursor workshops to hundeds of professional developers, but six‑hour sessions can’t cover every advanced workflow, custom mcp, or testing trick you need to know. Cursor Pro solves that with a huge collection of bite-sized video tutorials, step‑by‑step exercises, and a community where we can keep refining techniques together.

    What You’ll Get

    • Deep‑dive videos that show real‑world setups in Cursor, Claude Code, VS Code, Warp, and more.
    • Hands‑on exercises you can run on your own projects.
    • Downloadable configs and scripts you can drop straight into your repo.
    • Private support via Discord for questions, feedback, and ongoing updates.

    Course Outline

    The AI tooling landscape evolves quickly. Content will grow and adapt over time.

    Chapter 1 – AI IDE Fundamentals
    • Setting Up Your AI Development Environment – Configure Cursor, Claude Code, Windsurf, etc.; enable safety features; master auto‑run.
    • Git as Conversation Memory – Micro‑commits, searchable context, GitLens visualization.
    • Prompt Engineering Fundamentals – Concise prompts, context windows, @ and # shortcuts, SuperWhisper dictation.
    • Introduction to MCP Servers – Model Context Protocol basics and secure installation.
    • The Three Pillars of AI Agent Knowledge – Personal memory, codebase intelligence, team orchestration.
    • Model Selection & Agent Arena – Compare Claude, Gemini, and OpenAI models; run parallel experiments.
    Chapter 2 – Advanced Context Engineering & MCP Integration
    • MCP – The Universal Bridge – Official servers (Figma, Pieces, DeepWiki) and cross‑tool compatibility.
    • Advanced Context Engineering – Video‑based prompting, Search Editor glob patterns, Repomix compression.
    • Building Custom MCP Servers – Local‑first with Basic Memory and team‑level integration.
    • Security in the AI IDE Ecosystem – 1Password CLI, credential management, secure coding.
    • AI Debugging Strategies – Recognize failure patterns; swap research vs. iteration modes.
    • Knowledge System Architecture – Scalable context systems and version‑control strategies.
    Chapter 3 – Advanced AI IDE Workflows
    • Active vs. Background Orchestration – Collaborate or delegate; multiple IDE instances.
    • Multi‑Agent Coordination – Handle frontend, backend, and testing agents; manage PR floods.
    • Interface‑First Development – Figma MCP, v0.dev designs, Builder Fusion, DevTools workflows.
    • Automation & Scripting – Reusable libraries, AST transforms, template systems.
    • Testing as Foundation – Test‑driven AI development, adversarial prompting, high‑coverage tactics.
    Chapter 4 – Building Production Applications
    • Full‑Stack Architecture with AI – Database to Frontend w/ API contract‑first development.
    • Backend Development Patterns – Incremental APIs, AI‑generated queries, WebSocket/SSE jobs.
    • Frontend Excellence with AI – Rapid prototyping, atomic design, complex forms, performance tuning.
    • CI/CD & Deployment – NX Cloud self‑healing CI, Sentry automation, production checklists.
    • Monitoring & Observability – Comprehensive monitoring and AI‑assisted debugging.
    Chapter 5 – Personal Workflow Optimization
    • Shell History & Tool Discovery – Parse history, generate aliases, surface complementary tools.
    • Advanced IDE Techniques – Problems Tab batching, Three Variations refactoring, perfect context windows.
    • Autonomous Agent Workflows – YOLO Mode, foreground vs. background agents, Factory AI swarms.
    • Custom Extensions & Integrations – Project‑specific tools, voice control, keyboard automation.
    • Knowledge Capture & Improvement – Auto‑documentation, dictation patterns, productivity metrics.
    Chapter 6 – Team Collaboration at Scale
    • AI‑Powered Team Dynamics – Shared .cursorrules, coding standards, knowledge repositories.
    • Collaborative Workflows – AI‑adapted Git, parallel worktrees, context sharing.
    • Quality Assurance with AI – Automated reviews, security protocols, performance enforcement.
    • Onboarding & Knowledge Transfer – Faster onboarding, auto‑generated docs, progressive paths.
    • Scaling AI Practices – Centers of excellence, metrics, sustainable growth.

    Community Support

    When you enroll, you also join a private Discord server for:

    • Direct access to instructor.
    • Peer learning with devs who use these workflows daily.
    • Weekly office hours to tackle advanced topics.
    • Shared resources—templates, scripts, and configs.

    Why This Course Exists

    • Cursor workshops have highlighted demand for deeper, self‑paced content.
    • Consulting with enterprise teams has revealed common pain points that deserve thorough coverage.
    • Daily production work with AI tools uncovers patterns worth documenting and sharing.
    • Maintaining and expanding this course is now a full‑time focus, ensuring continuous updates as tools evolve.

    Course Philosophy

    AI is a brand-new tool with a steep learning curve. We need to blend our battle-tested development practices of the past while guiding AI Agents to generate our projects to our specific requirements.

    • Design systems built for AI collaboration.
    • Validate every AI action with human oversight.
    • Iterate rapidly through small, recoverable steps.
    • Create self‑documenting Git histories.
    • Balance compute power with efficiency.

    Learning Outcomes

    1. Navigate Cursor as your AI IDE command center.
    2. Build knowledge systems that blend multiple context sources.
    3. Cut development time through focused AI collaboration.
    4. Ship production applications with robust testing and deployment.
    5. Scale AI practices across teams.
    6. Orchestrate autonomous agents for parallel development.
    7. Balance human creativity with automated workflows.
    8. Apply these techniques in any AI‑enhanced toolchain.
    John Lindquist

    Your Instructor

    John Lindquist is a co‑founder of egghead.io and pioneered the standard of bite-sized education over the past 13 years. He's taught workshops about a varitey of frameworks worldwide, served as a WebStorm evangelist at JetBrains, and led technical architecture teams at Isobar for clients like the Air Force, HBO, and Bloomberg. He now focuses on pushing the boundaries of AI‑assisted workflows and sharing those discoveries with the developer community.

    Join the Early Access List

    Chapters will roll out progressively, so you can start learning while new content is produced. Early‑access members receive:

    • Immediate access to chapters as they launch (Chapter 1 releases this month).
    • Exclusive early‑bird pricing—sent only to wait‑list subscribers.
    • Input on course direction via feedback loops.
    • Lifetime updates as techniques and tools evolve.

    Ready to Transform Your Development Workflow?

    Get notified when Cursor Pro launches and secure your early access spot.

    I respect your privacy. Unsubscribe at any time.

    Questions?

    This is a significant undertaking built on hundreds of teaching hours. If you have questions or want to discuss enterprise training options, email me.

    The future of development is here—let’s master it together.