Managing Agent Workflows in Google Antigravity: Orchestration, Planning and Artifacts Training Course

Exploring Google Antigravity's Architecture

• Principles of agent-first design
• The distinct functions of the Editor and Manager interfaces
• Workspace organization and execution contexts

Setting Up Agents and Capabilities

• Distributing agent roles and areas of expertise
• Establishing task limits and levels of autonomy
• Overseeing agent security and access permissions

Crafting Multi-Agent Workflows

• Strategic workflow planning and sequencing
• Aligning background and foreground agent activities
• Employing patterns for chaining, delegation, and escalation

Navigating the Manager (Mission-Control) Interface

• Tracking live agent performance
• Analyzing graphs, states, and execution timelines
• Stepping in to override or redirect agent tasks as needed

Creating and Managing Antigravity Artifacts

• Managing task lists, operational plans, and decision traces
• Handling screenshots, browser recordings, and workspace snapshots
• Utilizing audit logs and reproducibility metadata

Techniques for Verification and Quality Assurance

• Guaranteeing traceability and transparency in operations
• Checking the accuracy of agent outputs
• Deploying safeguards and failover mechanisms

Integrating Antigravity into Engineering Pipelines

• Enhancing CI/CD and release workflows
• Synchronizing with current DevOps tooling
• Scaling agent tasks across different teams and environments

Advanced Optimization for Multi-Agent Collaboration

• Minimizing redundant actions and operational cycles
• Utilizing performance metrics and analytics data
• Developing resilient and adaptive workflows

Recap and Future Steps