GitHub: Governing AI-Generated Code

Overview

Learn to validate, audit, and govern AI-generated code using GitHub Copilot. This course teaches you systematic techniques for catching security vulnerabilities, logical flaws, and hallucinated APIs in Copilot output — skills essential for any team adopting AI-assisted development. You will start by building a validation workflow that combines static analysis, manual review, and security scanning to audit AI-generated code against OWASP patterns. Hands-on challenges walk you through identifying injection vulnerabilities, detecting hallucinated function calls, and documenting remediation steps. The course then covers custom Copilot configurations using copilot-instructions.md, where you define project-specific coding standards that Copilot follows automatically. You will create, test, and iterate on custom rules that enforce team conventions across all generated code. Finally, you will evaluate Large Language Models for development tasks — comparing capabilities across providers like OpenAI, Anthropic, and Google — using performance benchmarks and cost-benefit analysis to select the right model for each coding requirement. By the end of this course, you will have a governance framework for integrating AI code generation into production workflows with confidence.

Syllabus

Validating and Auditing AI-Generated Code

Covers AI code validation fundamentals, systematic verification techniques, security vulnerability identification, detecting logical flaws and hallucinations, and hands-on security auditing exercises.

Custom Configurations and LLM Selection

Covers custom Copilot instructions via copilot-instructions.md, enforcing team coding standards, custom rule creation and testing, LLM selection criteria, model performance comparison, cost-benefit analysis, and continuous learning resources.

Capstone — Governing AI-Generated Code in Practice

Apply validation, security auditing, custom configuration, and LLM selection techniques in an end-to-end governance scenario that synthesizes all course concepts.