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

Introduction to Agent-Driven Code

• How autonomous agents create and modify code
• Comprehending task decomposition and execution traces
• Typical failure modes in agent workflows

Foundations of Verification for Antigravity

• Setting up verification checkpoints
• Monitoring agent decisions and assessing logic sequences
• Spotting anomalies in agent behavior

Handling Agent-Generated Artifacts

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

Browser-Based Verification and Activity Logging

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

Techniques for Task Validation

• Verifying task accuracy and completeness
• Implementing checks for reproducibility and repeatability
• Applying constraint-based validation to AI workflows

Security Considerations in Agent-Driven Development

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

Testing for Reliability and Robustness

• Identifying fragile agent behaviors
• Stress-testing complex, multi-step agent operations
• Creating robust validation pipelines

Integrating Antigravity QA into Existing Pipelines

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

Summary and Next Steps