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Intro to Vibe Coding

Anyone can build real software now. Learn how, without the spiral of broken code, wasted tokens, and builds that go off the rails.

  • Beginner
  • 22 lessons
  • 4 hr 18 min
  • Taught by Nate Grahek
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What you'll learn

  • Plan AI Builds Turn vague app ideas into focused PRDs, MVP scopes, and step-by-step build plans before generating code.
  • Prompt Like a CTO Use one-question-at-a-time interviews, multiple-choice prompts, and clear context to guide AI like a technical co-founder.
  • Prototype Before Coding Create mockups, compare UI directions, and validate user flows with sample data before connecting real APIs or accounts.
  • Pick the Right Tools Choose AI coding tools, models, subscriptions, and workflows based on project complexity, budget, control, and token cost.
  • Ship Safely Debug and deploy projects using local previews, browser inspection, console errors, environment variables, and production hosting workflows.
  • Handle Production Risk Make practical decisions about authentication, payments, databases, pricing limits, API keys, and security before inviting real users.

Lessons 22 lessons · 4 hr 18 min

Every lesson comes with Pro, $29 a month.

Planning AI-Built Software 1 hr 21 min

  1. Lesson 1: Workshop Introduction and Goals 6 min
  2. Lesson 2: Why Planning and Preparation Matter 10 min
  3. Lesson 3: Code as the Best AI Use Case 10 min
  4. Lesson 4: SaaS, Market Shifts, and AI Risks 10 min
  5. Lesson 5: Designing Before Building 10 min
  6. Lesson 6: Deep Research Into Actionable Artifacts 10 min
  7. Lesson 7: Prompting Patterns for Better AI Collaboration 10 min
  8. Lesson 8: Building a Kids YouTube App Mockup 10 min
  9. Lesson 9: Creating a Technical Co-Founder Project 6 min

Planning AI Coding Projects 1 hr 30 min

  1. Lesson 10: Workshop Introduction and Goals 6 min
  2. Lesson 11: Why AI Coding Needs Planning 12 min
  3. Lesson 12: Managing Context, Projects, and CTO Prompts 12 min
  4. Lesson 13: Gathering Docs, Research, and UI Inspiration 16 min
  5. Lesson 14: PRD Workflow and Building the Demo App 17 min
  6. Lesson 15: Tool Pricing, Credits, and Security Questions 14 min
  7. Lesson 16: Choosing the Right Tools and Next Steps 12 min

Production AI App Workflows 1 hr 27 min

  1. Lesson 17: Welcome and workshop housekeeping 5 min
  2. Lesson 18: Choosing tools and managing token costs 15 min
  3. Lesson 19: Claude Code, Cursor, and workflow setup 20 min
  4. Lesson 20: Local development, debugging, and deployment 20 min
  5. Lesson 21: Auth, pricing plans, and environment variables 15 min
  6. Lesson 22: Databases, security, and scaling decisions 12 min

Your teacher

Nate Grahek

AI Educator @ The Rundown University

Nate is a SaaS founder and Fractional CMO who helps product-driven businesses build marketing systems that actually work — without the fluff. He's spent years helping founders and operators cut through marketing complexity and put the right things on autopilot.

At Rundown University, Nate brings that same hands-on, no-jargon approach to AI education. His workshops and courses focus on practical automation and AI workflows you can deploy the same day — no engineering background required. If you've ever wanted to use AI to get your time back, Nate shows you exactly how.

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