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 Duration 21 hours

Course Outline

Foundations of Agent-Centric Development

  • Principles of autonomous versus semi-autonomous agents
  • Adopting an agent-first architectural perspective
  • Evaluating the optimal scenarios for agent-driven workflows

Navigating the Antigravity IDE

  • Workspace configuration and interface navigation
  • Overview of the editor, browser pane, and terminal
  • Configuring the development environment

Constructing Your Initial Agent-Driven Application

  • Project initialization and setup
  • Specifying agent roles and functional capabilities
  • Executing agents within the development context

In-Depth Analysis of the Agent Manager

  • Overseeing multi-agent lifecycle management
  • Facilitating seamless agent collaboration
  • Tracking agent performance and state transitions

Agent Utilities: Terminal, Browser, and Execution Context

  • Real-time debugging procedures
  • Leveraging the browser view for agent-initiated tasks
  • Executing agent directives via the terminal

Embedding Agents into Application Logic

  • Workflow chaining and task coordination
  • Mapping agent actions to core business logic
  • Patterns for persistence, memory, and data processing

Testing, Reliability, and Security Protocols

  • Strategies for testing agent-centric systems
  • Guaranteeing consistent and secure agent operations
  • Implementing robust error handling and fallback solutions

Deploying Agent-Centric Applications

  • Preparing applications for production environments
  • Deployment strategies and pipeline configurations
  • Ongoing agent monitoring post-deployment

Recap and Future Directions

Requirements

  • A solid grasp of standard software development lifecycle workflows
  • Proficiency in JavaScript or Python
  • Competency with contemporary IDEs

Target Audience

  • Software engineers
  • Full-stack developers
  • Development teams adopting AI-native methodologies

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