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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

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