Secure AI Vibecoding: Safe Coding Practices for AI-Assisted Developers

Writing software with AI assistants—often called 'vibecoding'—makes development accessible to everyone, but it also introduces critical security risks. If you are using AI to generate code, you must know how to spot vulnerabilities and protect your applications. This text-only course guides you through the fundamental security principles of AI-assisted development, helping you transition from blindly trusting AI outputs to confidently reviewing, testing, and securing your code. What you'll learn: - Understand the core security risks associated with AI-generated code and informal development. - Identify common vulnerabilities in AI outputs, including insecure dependencies and logic flaws. - Apply secure prompt engineering techniques to prevent data leakage and prompt injection. - Implement basic static analysis and code review practices to validate AI-generated scripts. - Manage API keys, secrets, and sensitive credentials safely without exposing them to AI models. - Practice reviewing code through written exercises designed to build your security intuition. You will start with foundational security definitions and the basics of how AI models generate code. From there, you will progress to practical security checks, secret management, and simple verification workflows you can apply to any project. This course is designed for beginners, non-technical builders, and hobbyists who use AI to write code and want to ensure their projects are secure and reliable. No prior programming or security experience is required. Start reading today and learn how to build securely with AI.