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Course Outline
Foundations of Agent-Driven Code
- How autonomous agents create and alter code
- Comprehending task breakdown and execution logs
- Typical failure patterns in agent workflows
Basics of Verification in Antigravity
- Defining key verification checkpoints
- Monitoring agent decisions and assessing logical sequences
- Spotting irregularities in agent conduct
Managing Artifacts Created by Agents
- Evaluating code differences and patch integrity
- Verifying documentation and metadata generated by agents
- Examining both structured and unstructured outputs
Browser-Centric Verification and Activity Logging
- Analyzing browser session recordings
- Identifying errors made by agents during UI-based tasks
- Aligning recording events with the anticipated task progression
Methods for Task Validation
- Ensuring task precision and thoroughness
- Implementing checks for reproducibility and consistency
- Utilizing constraint-based verification for AI processes
Security Aspects in Agent-Driven Development
- Identifying potentially hazardous agent actions
- Performing static and dynamic analysis on agent outputs
- Strengthening verification procedures to close security loopholes
Assessing Reliability and Robustness
- Uncovering fragile agent behaviors
- Conducting stress tests on multi-step agent operations
- Developing robust validation pipelines
Embedding Antigravity QA into Current Pipelines
- Creating comprehensive agent verification workflows
- Automating acceptance criteria for agent tasks
- Tracking and reporting agent performance
Conclusion and Future Actions
Requirements
- A solid grasp of software testing fundamentals
- Experience with QA methodologies or automation practices
- Knowledge of AI-assisted development processes
Target Audience
- QA engineers
- SDETs
- Security engineers
14 Hours
