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

Introduction to Agent-Driven Code

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

Verification Fundamentals for Antigravity

• Setting up verification checkpoints
• Tracking agent decision-making and evaluating logic sequences
• Identifying anomalies in agent behaviour

Handling Artifacts Produced by Agents

• Evaluating 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
• Identifying agent errors during UI-driven tasks
• Aligning recording events with the expected task flow

Task Validation Methodologies

• Confirming the accuracy and completeness of tasks
• Applying checks for reproducibility and repeatability
• Utilising constraint-based validation for AI workflows

Security Aspects in Agent-Driven Development

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

Testing for Reliability and Robustness

• Detecting fragile agent behaviours
• Stress-testing multi-step agent operations
• Developing resilient validation pipelines

Incorporating Antigravity QA into Existing Pipelines

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

Summary and Future Directions