QA / Test Engineer

AI test tools use tool calling to interact with your codebase. Understanding this mechanism is how you evaluate and configure them.

• [ ] Foundations (2 lessons)
• [ ] How Models Decide (2 lessons)
• [ ] Advanced Patterns (3 lessons)
• [ ] Security and Production (3 lessons)

Build the same kind of agent that's being used to generate and run tests. You'll understand its failure modes because you built one.

• [ ] Getting Started (2 lessons)
• [ ] The Conversation Loop (2 lessons)
• [ ] Adding Tools (3 lessons)
• [ ] Making It Real (3 lessons)

certification: Certified AI Agent Builder

The sub-agents section covers the test-runner problem directly — how agents manage context when running test suites.

• [ ] Tokens and Inference (2 lessons)
• [ ] The Real Size of Your Context Window (4 lessons)
• [ ] Anatomy of the Messages Array (5 lessons)
• [ ] Dynamic Allocation: Tool Calling (2 lessons)
• [ ] The Ralph Wiggum Loop (3 lessons)
• [ ] Sub-Agents: Managed Runtimes for AI (3 lessons)
• [ ] Message Passing: The Erlang OTP of AI (3 lessons)
• [ ] Context Management Strategies (3 lessons)

certification: Certified Context Engineer