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Kurzusleírás
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
Követelmények
- 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 Órák
