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.

Verification Foundations in Antigravity

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

Managing Artifacts Generated by Agents

• Evaluating code diffs and patch quality.
• Validating documentation and metadata created by agents.
• Reviewing both structured and unstructured output.

Browser-Based Verification and Activity Logging

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

Task Validation Methodologies

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

Security Aspects in Agent-Driven Development

• Identifying risky actions taken by agents.
• Performing static and dynamic analyses on agent output.
• Strengthening verification steps to close security gaps.

Ensuring Testing 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 on and monitoring agent performance.

Summary and Next Steps