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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

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