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

Grasping the Architecture of Google Antigravity

• Core principles of agent-first design
• Functions of the Editor and Manager interfaces
• Workspace architecture and execution contexts

Setting Up Agents and Defining Capabilities

• Distributing roles and areas of expertise to agents
• Establishing task limits and levels of autonomy
• Controlling security settings and permissions for agents

Architecting Multi-Agent Workflows

• Planning the sequence of workflow steps
• Overseeing both background and foreground agents
• Applying patterns for chaining, delegation, and escalation

Interacting with the Manager (Mission-Control) Interface

• Tracking real-time agent activities
• Analyzing graphs, states, and execution timelines
• Intervening to override or redirect agent tasks

Creating and Overseeing Antigravity Artifacts

• Maintaining task lists, work plans, and decision logs
• Capturing screenshots, browser recordings, and workspace snapshots
• Managing audit logs and reproducibility metadata

Verification and Quality Assurance Methods

• Guaranteeing traceability and openness
• Checking the accuracy of agent output
• Deploying safety measures and failover protocols

Embedding Antigravity into Engineering Pipelines

• Backing CI/CD and release processes
• Working alongside existing DevOps toolsets
• Expanding agent tasks across various teams and environments

Sophisticated Optimization for Multi-Agent Teamwork

• Minimizing repetitive actions and cycles
• Utilizing performance data and analytics
• Crafting robust and flexible workflows

Recap and Future Directions