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Duration 14 hours
Course Outline
Exploring the Architecture of Google Antigravity
- Core principles of agent-first design
- Functions of the Editor and Manager interfaces
- Workspace organization and execution contexts
Setting Up Agents and Defining Capabilities
- Allocating specific roles and specializations to agents
- Establishing task boundaries and autonomy levels
- Administering security protocols and permission sets for agents
Structuring Multi-Agent Workflows
- Planning workflow sequences and logic
- Synchronizing background and foreground agent activities
- Utilizing chaining, delegation, and escalation models
Navigating the Manager (Mission-Control) Interface
- Tracking real-time agent performance
- Analyzing visual graphs, states, and execution timelines
- Modifying, overriding, or redirecting agent tasks as needed
Creating and Managing Antigravity Artifacts
- Maintaining task lists, work plans, and decision logs
- Handling screenshots, browser recordings, and workspace snapshots
- Managing audit logs and metadata for reproducibility
Techniques for Verification and Quality Assurance
- Safeguarding process traceability and transparency
- Checking the accuracy of agent-generated output
- Deploying safety mechanisms and failover procedures
Embedding Antigravity into Engineering Pipelines
- Facilitating CI/CD and release management workflows
- Integrating with established DevOps toolchains
- Expanding agent task management across teams and environments
Advanced Strategies for Multi-Agent Collaboration
- Minimizing redundant actions and processing cycles
- Utilizing performance metrics and analytical data
- Creating resilient and flexible workflow architectures
Conclusion and Future Actions
Requirements
- Proficiency in contemporary DevOps and platform engineering principles
- Hands-on experience with AI-assisted development processes
- Knowledge of distributed systems or cloud-based environments
Target Audience
- Platform Engineers
- DevOps Engineers
- AI Architects