AI Agent Mastery
"The intermediate track dives deep into the world of AI agents — autonomous systems that can analyze requirements, generate tests, and even heal themselves when things go wrong."
The Reader's Dilemma
Dear Marilyn,I've completed the foundation track and understand Action-Based Testing principles. But now I'm hearing about AI agents that can supposedly write and maintain tests autonomously. How do these agents actually work? And how do I ensure they're generating quality tests rather than just quantity?
Marilyn's Reply
Excellent question! You've touched on the heart of what makes GRACE different from other AI testing approaches. The key is understanding that AI agents in GRACE aren't trying to replace human judgment — they're amplifying it.
In this track, you'll learn about the GRACE Architecture — a system of specialized agents that work together like a well-coordinated team. Each agent has a specific role: analyzing requirements, generating test cases, orchestrating execution, and even detecting and fixing broken tests automatically.
The magic happens in the Cognitive Feedback Loops — mechanisms that allow agents to learn from their mistakes and improve over time. By the end of this track, you'll understand not just how to use these agents, but how to configure them for your specific testing needs.
Track Overview
Prerequisite: ABT Foundations Track
Track Modules
- Module 11:Introduction to AI Agents~15 min
- Module 12:The GRACE Architecture~15 min
- Module 13:Requirement Analysis Agents~15 min
- Module 14:Test Generation Agents~15 min
- Module 15:Execution Orchestration~15 min
- Module 16:Self-Healing Mechanisms~15 min
- Module 17:Cognitive Feedback Loops~15 min
- Module 18:Integration Patterns~15 min
- Module 19:Performance Optimization~15 min
- Module 20:Intermediate Capstone~15 min
Ready to Master AI Agents?
Start with Module 11 and discover how AI agents can transform your testing practice. Each module builds on the last, creating a comprehensive understanding of the GRACE system.