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

Introduction to Agent-Driven Code

• Exploring how autonomous agents generate and modify code
• Comprehending task decomposition and execution traces
• Identifying common failure modes in agent workflows

Verification Foundations for Antigravity

• Setting up effective verification checkpoints
• Tracking agent decisions and evaluating logic sequences
• Detecting anomalies in agent behavior

Working with Artifacts Generated by Agents

• Assessing code diffs and patch quality
• Validating documentation and metadata created by agents
• Reviewing both 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 the expected task flow

Task Validation Techniques

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

Security Considerations in Agent-Driven Development

• Recognizing potentially risky agent actions
• Performing static and dynamic analyses on agent output
• Hardening verification steps to address 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