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Duration 14 hours
Course Outline
Exploring the Architecture of Google Antigravity
- Core principles of agent-first design
- The specific functions of the Editor and Manager interfaces
- Workspace organization and execution contexts
Setting Up Agents and Defining Capabilities
- Determining agent roles and areas of specialization
- Establishing task limits and levels of autonomy
- Overseeing security protocols and agent permissions
Structuring Multi-Agent Workflows
- Planning workflow sequences and logic
- Synchronizing background and foreground agent activities
- Utilizing patterns for chaining, delegation, and escalation
Navigating the Manager (Mission-Control) Interface
- Tracking live agent operations
- Analyzing visual graphs, states, and execution timelines
- Intervening to override or redirect agent tasks as needed
Creating and Administering Antigravity Artifacts
- Generating task lists, work plans, and decision records
- Capturing screenshots, browser recordings, and workspace states
- Maintaining audit logs and reproducibility metadata
Techniques for Verification and Quality Assurance
- Guaranteeing traceability and process transparency
- Validating the precision of agent outputs
- Implementing safeguards and failover mechanisms
Embedding Antigravity into Engineering Pipelines
- Facilitating CI/CD and release management processes
- Integrating with current DevOps toolsets
- Expanding agent task distribution across teams and environments
Advanced Strategies for Multi-Agent Collaboration
- Minimizing redundant actions and operational cycles
- Utilizing performance indicators and analytical data
- Crafting workflows that are both resilient and adaptable
Conclusion and Path Forward
Requirements
- A solid grasp of contemporary DevOps and platform engineering principles
- Practical experience with AI-assisted development processes
- Knowledge of distributed systems or cloud-based infrastructures
Target Audience
- Platform engineers
- DevOps specialists
- AI architects