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Course Outline
Introduction to Agent-Driven Code for Government
- How autonomous agents generate and modify code in public sector environments
- Understanding task decomposition and execution traces for government workflows
- Common failure modes in agent-driven processes for government operations
Verification Foundations for Antigravity
- Establishing verification checkpoints to ensure compliance with public sector standards
- Tracking agent decisions and evaluating logic sequences for transparency and accountability
- Identifying anomalies in agent behavior to maintain integrity of government systems
Working with Artifacts Generated by Agents
- Assessing code diffs and patch quality to ensure reliability for government applications
- Validating agent-created documentation and metadata to support governance requirements
- Reviewing structured and unstructured output for consistency with public sector standards
Browser-Based Verification and Activity Recording
- Interpreting browser session recordings to enhance traceability in government workflows
- Detecting agent missteps during UI-driven tasks to prevent errors in public sector applications
- Correlating recording events with expected task flow for accurate performance tracking
Task Validation Techniques
- Confirming task accuracy and completeness to meet government standards
- Applying reproducibility and repeatability checks to ensure consistent results in public sector projects
- Using constraint-based validation for AI workflows to maintain reliability in government systems
Security Considerations in Agent-Driven Development for Government
- Recognizing risky agent actions to protect sensitive government data
- Static and dynamic analyses for agent output to ensure security compliance
- Hardening verification steps against security gaps to safeguard public sector systems
Testing Reliability and Robustness
- Detecting brittle agent behaviors to improve system resilience in government operations
- Stress-testing multi-step agent operations to ensure robust performance for public sector tasks
- Building resilient validation pipelines to support continuous improvement in government workflows
Integrating Antigravity QA into Existing Pipelines for Government
- Designing end-to-end agent verification workflows to align with public sector practices
- Automating acceptance criteria for agent tasks to streamline government processes
- Reporting and monitoring agent performance to enhance accountability in government systems
Summary and Next Steps
Requirements
- A solid understanding of software testing fundamentals for government applications
- Practical experience with automation or quality assurance methodologies
- Familiarity with AI-assisted development workflows in a public sector context
Audience
- QA engineers for government agencies
- Software Development Engineers in Test (SDETs) for government projects
- Security engineers for government systems
14 Hours
