Vibe Coding 101: From Idea to Shipped Product
Course Overview
| Course Title | Vibe Coding 101: From Idea to Shipped Product |
| Version | 2.0 (February 2026) |
| Duration | 12 Weeks |
| Prerequisites | Basic programming knowledge, Git fundamentals |
| Instructor | Goker Ezberci |
| gokerez@gmail.com |
What You'll Learn
This course teaches computer engineering students how to leverage AI-assisted development — commonly known as "vibe coding" — while maintaining professional software engineering discipline. You'll learn to use any AI coding tool (Cursor, Claude Code, Windsurf, Gemini CLI, Copilot, Bolt.new, v0, and more) following universal best practices that transfer across the rapidly evolving tool landscape.
This course is tool-agnostic by design. Tools change every 3 months; disciplines last decades.
You'll build one evolving product across the entire semester: prototyping in Week 3, hardening through Weeks 5-8, and launching publicly by Week 12.
Learning Outcomes
Upon successful completion, you will be able to:
- Understand how LLMs generate code and why hallucinations, security vulnerabilities, and architectural issues occur
- Apply the Explore → Plan → Code → Verify cycle using any AI coding tool
- Write comprehensive test suites for AI-generated code and integrate them into CI/CD pipelines
- Design maintainable software architecture that guides AI toward good patterns
- Identify and mitigate AI-specific security risks including package hallucination and prompt injection
- Build and deploy production-ready applications with monitoring, error handling, and observability
- Create reusable skills and multi-agent systems for automated engineering workflows
- Present and launch a real product to real users
Course Schedule
| Week | Title | Subtitle | Phase |
|---|---|---|---|
| 1 | Disciplined Vibe Coding | What Is Vibe Coding? | Phase 1: Foundations |
| 2 | How AI Coding Actually Works | LLMs, Tokens & Context | |
| 3 | Ship It Week | PRD → Prototype → Deploy | |
| 4 | Iteration & Code Review | Context Engineering | |
| 5 | Testing AI-Generated Code | Why AI Code Needs More Testing | Phase 2: Engineering |
| 6 | Architecture & Design Patterns | Guiding AI Toward Good Patterns | MILESTONE 1: Mid-term |
| 7 | Security & AI Vulnerabilities | Package Hallucination & Prompt Injection | |
| 8 | Skills, Agents & Automation | Building Reusable AI Workflows | |
| 9 | Production Patterns & Scaling | Error Handling, Logging & Monitoring | Phase 3: Launch |
| 10 | Multi-Agent Systems | Orchestration & MCP | |
| 11 | Ethics, Governance & Feature Freeze | Ship Responsibly | |
| 12 | Demo Day & Launch | Present, Ship, Celebrate | MILESTONE 2: Demo Day |
Two Milestones
Milestone 1: Mid-term Checkpoint (Week 6)
Present your product's architecture and progress:
- Working prototype with core features
- Test suite demonstrating code quality
- Architecture documentation (diagram + decisions)
- 5-minute presentation to the class
Milestone 2: Demo Day (Week 12)
Launch your product publicly:
- Deployed product URL (live and working)
- Source code repository with README
- 5-minute presentation + 2-minute demo video
- Evidence of real user feedback
Tool-Agnostic Philosophy
Students choose their preferred AI coding tools. The course teaches principles that work everywhere:
| Category | Example Tools (all have free options) | Course Teaches |
|---|---|---|
| IDE-native | Cursor (free/student), Windsurf (free tier), Copilot (free tier) | Explore→Plan→Code→Verify cycle |
| Terminal-native | Gemini CLI (free), Claude Code, aider (open source) | Context engineering, instruction files |
| Rapid prototyping | Bolt.new (free), v0 (free), Lovable (free), Replit (free) | PRD→prototype→deploy workflow |
| Agent frameworks | Google ADK (free), Anthropic SDK, CrewAI (open source) | Pipeline, parallel, supervisor patterns |
Required Materials
Before Week 1 (Do These Immediately)
Apply for the GitHub Student Developer Pack — education.github.com/pack
- Unlocks: GitHub Copilot Pro (free), Sentry (free), Azure credits ($100), 100+ tools
- Requires .edu email or proof of enrollment. Apply early — verification takes 1-3 days.
Apply for Cursor Pro student discount — cursor.com/students
- 1 full year of Cursor Pro free (normally $20/month)
Get a Gemini API key — aistudio.google.com
- Gemini CLI has a free tier (limits can change; check current quotas in official docs)
Install Git and create a GitHub account — github.com
Install Node.js 18+ or Python 3.11+
Software (All Free Options Available)
| Category | Free Options | Student Discount Options |
|---|---|---|
| Code Editor | VS Code (free) | Cursor Pro (1yr free), JetBrains (free for students) |
| AI Assistant | Gemini CLI (free), Copilot free tier, aider (open source) | Copilot Pro (free via Pack), Cursor Pro (free via student) |
| Deployment | Vercel Hobby (free), Render (free), Netlify (free) | — |
| Database | SQLite (built-in), Supabase (free tier), Firebase (free tier) | — |
| CI/CD | GitHub Actions (2,000 min/month free) | — |
| Monitoring | UptimeRobot (free) | Sentry (free via Student Pack) |
This course can be completed for $0.
Resources
Official Documentation
- Cursor Documentation
- Claude Code Documentation
- Gemini CLI Documentation
- Windsurf Documentation
- GitHub Copilot Documentation
- MCP Specification
Learning Materials
- DeepLearning.AI: Agent Skills with Anthropic
- Addy Osmani: My LLM Coding Workflow Going Into 2026
- MIT Technology Review: From Vibe Coding to Context Engineering
Version 2.0 — February 2026