Master AI-Assisted Development
in 6 Weeks

Learn to build production-grade software with AI coding assistants. From LLM fundamentals to enterprise deployment, gain the skills that define modern software development.

Vibe Coding Course

A comprehensive, evidence-based curriculum teaching you how to leverage AI coding tools like Claude Code, Cursor, and more. Move from ad-hoc prompting to structured methodologies with measurable outcomes.

Access Course Materials

Week 1: LLM Fundamentals

Introduction to Large Language Models
Understanding tokens, context windows, quantization, and reasoning models. Learn prompt engineering strategies, when to fine-tune, and how AI agents work. Build the foundation for everything that follows.

  • Tokens & Context Windows
  • Prompt Engineering Patterns
  • Reasoning Models (o1, Claude 4.1)
  • AI Agents Architecture

Week 2: AI Developer Tools

AI-Powered Coding Assistants
Deep dive into Cursor, Claude Code, and Kilo. Master the Model Context Protocol (MCP), understand tool architectures, and learn planning modes. Choose the right tool for your workflow.

  • Cursor, Claude Code, Kilo
  • Model Context Protocol (MCP)
  • Essential MCP Servers
  • Planning & Agent Modes

Week 3: Development Methodologies

Structured AI-Assisted Development
Learn three proven methodologies: Vibe Coding, Spec-Driven Development, and BMAD Method. Evidence-based decision frameworks, context management strategies, and measured anti-patterns to avoid.

  • Methodology Selection Framework
  • Context Management (81-95% token reduction)
  • Spec-Driven Development
  • BMAD Method (90% token reduction)

Week 4: Hands-On Practice

Real-World Implementation
Apply everything you've learned to build actual features. Practice with different tools, methodologies, and workflows. Learn through doing with guided exercises and real codebases.

  • Feature Implementation Projects
  • Multi-Tool Workflows
  • Context Engineering Practice
  • Code Quality Optimization

Week 5: Production Integration

Team Workflows & Enterprise Deployment
Cost management, large codebase strategies, AI code review pipelines, team collaboration patterns, and security compliance. Deploy AI tools at scale with confidence.

  • Cost Management & ROI Analysis
  • Large Codebases (>20K LOC)
  • GitHub Actions AI Review
  • Local LLM Deployment

Week 6: Advanced Topics

Multi-Agent Systems & Orchestration
Advanced patterns for complex workflows, cross-tool orchestration, custom hooks, and specialized MCP servers. Push the boundaries of what's possible with AI-assisted development.

  • Multi-Agent Orchestration
  • Custom MCP Servers
  • Advanced Hooks & Automation
  • Enterprise Patterns

What You'll Gain

50%+ Productivity Gains Evidence-Based Practices Production-Ready Skills Cost Optimization Team Collaboration Security Compliance Tool Mastery Methodology Selection Quality Assurance

Evidence-Based Curriculum

Our course is built on 2025 research from Anthropic, MIT, GitHub, Cursor, and industry leaders. You'll learn proven patterns backed by real metrics: 50%+ productivity gains, 72% bug reduction, 90% cost savings with proper implementation. No theory without practice, no claims without evidence.

Ready to Start Learning?

Join the next cohort of developers mastering AI-assisted development. Whether you're an individual developer or bringing your entire team, we have options for you.

Current Cohort: Starts January 17th, 2026

⚠️ This run is sold out. Interested in the next cohort? Contact us to get notified.

Get Started