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Course Outline
Introduction to Agent-Driven Code
- How autonomous agents generate and modify code.
- Understanding task decomposition and execution traces.
- Common failure modes in agent workflows.
Verification Foundations for Antigravity
- Establishing verification checkpoints.
- Tracking agent decisions and evaluating logic sequences.
- Identifying anomalies in agent behavior.
Working with Artifacts Generated by Agents
- Assessing code diffs and patch quality.
- Validating agent-created documentation and metadata.
- Reviewing structured and unstructured output.
Browser-Based Verification and Activity Recording
- Interpreting browser session recordings.
- Detecting agent missteps during UI-driven tasks.
- Correlating recording events with expected task flow.
Task Validation Techniques
- Confirming task accuracy and completeness.
- Applying reproducibility and repeatability checks.
- Using constraint-based validation for AI workflows.
Security Considerations in Agent-Driven Development
- Recognizing risky agent actions.
- Static and dynamic analyses for agent output.
- Hardening verification steps against security gaps.
Testing Reliability and Robustness
- Detecting brittle agent behaviors.
- Stress-testing multi-step agent operations.
- Building resilient validation pipelines.
Integrating Antigravity QA into Existing Pipelines
- Designing end-to-end agent verification workflows.
- Automating acceptance criteria for agent tasks.
- Reporting and monitoring agent performance.
Summary and Next Steps
Requirements
- A solid understanding of software testing fundamentals.
- Experience with automation or QA methodologies.
- Familiarity with AI-assisted development workflows.
Audience
- QA engineers.
- SDETs.
- Security engineers.
14 Hours
