Developer's Guide to Agentic AI in GitHub

The role of the software developer is evolving from writing every line of code manually to orchestrating autonomous AI agents that can plan, execute, and debug tasks. Understanding how to manage these agents securely within your existing development workflow is becoming an essential skill. This text-based course guides you through the core concepts of agentic AI and shows you how to use GitHub as a secure control plane for autonomous workflows. You will transition from a traditional coder to an AI orchestrator who guides, reviews, and validates agent actions safely across the software development lifecycle. What you'll learn: - Understand the fundamental principles of agentic AI and how autonomous systems make decisions. - Configure GitHub as the system of record to trace, monitor, and audit agent activities. - Design secure workflows that allow AI agents to safely interact with repositories and deployment pipelines. - Apply modern prompt engineering and evaluation techniques to guide agent behavior effectively. - Establish review and validation gates to maintain high code quality and security standards. You will start with foundational definitions of AI agents before exploring practical text-based walkthroughs on integrating agents with GitHub Actions, managing permissions, and establishing human-in-the-loop validation processes. This course is designed for software developers, system architects, and tech leads who are new to agentic AI and want to modernize their development workflows. No prior experience with AI agents is required. Start reading today to learn how to lead and secure the next generation of AI-driven software development.