Course Outline

Understanding Google Antigravity's Architecture for Government

  • Agent-first design principles for government
  • Roles of the Editor and Manager interfaces in public sector applications
  • Workspace structure and execution contexts tailored for government workflows

Configuring Agents and Capabilities for Government

  • Assigning agent roles and specializations to meet government needs
  • Defining task boundaries and autonomy levels in alignment with public sector policies
  • Managing security and permissions for agents to ensure compliance with government regulations

Designing Multi-Agent Workflows for Government

  • Workflow planning and sequencing to enhance efficiency in government operations
  • Coordinating background and foreground agents to optimize resource utilization
  • Using chaining, delegation, and escalation patterns to streamline processes for government

Working with the Manager (Mission-Control) Interface for Government

  • Monitoring live agent activity to ensure compliance and performance
  • Interpreting graphs, states, and execution timelines to support decision-making
  • Intervening, overriding, or redirecting agent tasks as needed for government operations

Generating and Managing Antigravity Artifacts for Government

  • Task lists, work plans, and decision traces to ensure transparency and accountability
  • Screenshots, browser recordings, and workspace captures for audit purposes
  • Audit logs and reproducibility metadata to support governance and compliance

Verification and Quality Assurance Techniques for Government

  • Ensuring traceability and transparency in government projects
  • Validating agent output accuracy to meet public sector standards
  • Implementing safe-guards and failover strategies to ensure reliability

Integrating Antigravity into Engineering Pipelines for Government

  • Supporting CI/CD and release workflows in government IT environments
  • Collaborating with existing DevOps tools to enhance integration
  • Scaling agent tasks across teams and environments to support large-scale government initiatives

Advanced Optimization for Multi-Agent Collaboration for Government

  • Reducing redundant actions and cycles to improve efficiency in government operations
  • Leveraging performance metrics and analytics to inform decision-making
  • Designing resilient and adaptable workflows to meet the dynamic needs of government agencies

Summary and Next Steps for Government

Requirements

  • A comprehensive understanding of contemporary DevOps and platform engineering principles for government
  • Practical experience with AI-assisted development workflows
  • Knowledge of distributed systems or cloud environments

Audience

  • Platform Engineers
  • DevOps Engineers
  • AI Architects
 14 Hours

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