Testing & Verifying Agent-Driven Code: Quality Assurance in Antigravity Training Course

Introduction to Agent-Driven Code

• How autonomous agents generate and modify code
• Understanding task decomposition and execution traces
• Common failure modes in agent workflows

Foundations of Verification in Antigravity

• Establishing key verification checkpoints
• Tracking agent decisions and evaluating logic sequences
• Identifying anomalies in agent behavior

Managing Agent-Generated Artifacts

• Assessing code diffs and patch quality
• Validating documentation and metadata created by agents
• Reviewing both structured and unstructured outputs

Browser-Based Verification and Activity Logging

• Interpreting browser session recordings
• Detecting agent errors during UI-driven tasks
• Correlating recorded events with the expected task flow

Techniques for Task Validation

• Confirming task accuracy and completeness
• Applying reproducibility and repeatability checks
• Utilizing constraint-based validation for AI workflows

Security Considerations in Agent-Driven Development

• Identifying risky actions performed by agents
• Conducting static and dynamic analyses of agent output
• Strengthening verification steps to mitigate security gaps

Testing for Reliability and Robustness

• Detecting brittle behaviors in agents
• Stress-testing multi-step agent operations
• Constructing resilient validation pipelines

Integrating Antigravity QA into Existing Pipelines

• Designing end-to-end workflows for agent verification
• Automating acceptance criteria for agent tasks
• Reporting and monitoring agent performance

Conclusion and Future Steps