Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
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 for Antigravity
- Establishing verification checkpoints
- Tracking agent decisions and evaluating logic sequences
- Identifying anomalies in agent behavior
Working with Artifacts Generated by Agents
- Assessing code diffs and patch quality
- Validating agent-created documentation and metadata
- Reviewing 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 expected task flow
Task Validation Techniques
- Confirming task accuracy and completeness
- Applying reproducibility and repeatability checks
- Using constraint-based validation for AI workflows
Security Considerations in Agent-Driven Development
- Recognizing risky agent actions
- Static and dynamic analyses for agent output
- Hardening verification steps against 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
Requirements
- An understanding of software testing fundamentals
- Experience with automation or QA methodologies
- Familiarity with AI-assisted development workflows
Audience
- QA engineers
- SDETs
- Security engineers
14 Hours
