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

Exploring the Architectural Foundations of Google Antigravity

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

Setting Up Agents and Capabilities

• Allocating specific roles and specializations to agents
• Establishing task limits and autonomy parameters
• Controlling security settings and agent permissions

Architecting Multi-Agent Workflows

• Strategic workflow planning and sequencing
• Synchronizing background and foreground agent activities
• Applying chaining, delegation, and escalation methodologies

Navigating the Manager (Mission-Control) Interface

• Tracking real-time agent performance
• Analyzing state graphs and execution timelines
• Intervening to override or redirect agent tasks

Creating and Handling Antigravity Artifacts

• Reviewing task lists, work plans, and decision traces
• Examining screenshots, browser recordings, and workspace captures
• Managing audit logs and reproducibility metadata

Verification and Quality Assurance Methods

• Safeguarding traceability and operational transparency
• Verifying the precision of agent outputs
• Deploying safeguards and failover mechanisms

Embedding Antigravity into Engineering Pipelines

• Supporting CI/CD and release management processes
• Integrating with existing DevOps toolsets
• Scaling agent operations across multiple teams and environments

Advanced Strategies for Multi-Agent Collaboration

• Minimizing redundant actions and processing cycles
• Utilizing performance metrics and analytics data
• Crafting resilient and adaptive workflow structures

Conclusion and Future Directions