Vibe Engineering

Overview

Master the professional skills to engineer production-quality software with AI assistants, agents, and tools. You'll learn to review AI-generated code for quality, security, and reliability risks, and master structured communication to prevent common pitfalls like hallucinations and over-engineering.

By integrating AI into the full development lifecycle from planning and coding, to testing and documentation, you'll build software faster while maintaining engineering standards and professional responsibility.

Syllabus

• Review Code Like an Engineer
Systematically review code—AI or human—by applying the quality pyramid, spotting universal and AI-specific red flags, and practicing critical code review skills for production readiness.
• Patterns and Pitfalls in AI-Generated Code
Learn to identify and address five common patterns in AI-generated code, assess code quality, and apply systematic review to ensure reliable AI collaboration in development.
• Prompt with Purpose
Master proactive, structured prompting to prevent AI code issues. Use templates, clarity, examples, and constraints for higher-quality, efficient, and consistent AI collaboration.
• Risks, Responsibilities, and the Limits of Trust
Assess security, ethical, and reliability risks in AI-assisted code, and understand your professional responsibility and limits of trust when approving code for production.
• Collaborate with AI Throughout the Development Cycle
Learn to collaborate with AI throughout the development cycle—planning, coding, testing, refactoring, and documenting—while maintaining engineering control and standards.
• Flashcard Quizzer: AI-Assisted CLI Learning Application
Engineer a production-ready CLI application by guiding an AI agent to generate, review, and refine code.

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Taught by

Bruce Cantarim

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Subjects

Computer Science