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 Duration 21 hours

Course Outline

Introduction to Agent-First Development

  • The concept of autonomous and semi-autonomous agents
  • Adopting an agent-first architectural perspective
  • Determining the appropriate use cases for agent-driven workflows

Exploring the Antigravity IDE

  • Workspace layout and navigation techniques
  • Overview of the editor, browser pane, and terminal
  • Configuring the development environment

Building Your First Agent-Driven Application

  • Project setup and initialization processes
  • Defining specific agent roles and capabilities
  • Executing agents within the development environment

Deep Dive into the Agent Manager

  • Managing the lifecycle of multiple agents
  • Orchestrating collaboration between agents
  • Monitoring agent activity and state changes

Agent Tools: Terminal, Browser, and Execution Environment

  • Implementing live debugging workflows
  • Leveraging the browser view for agent-led tasks
  • Executing agent commands via the terminal

Integrating Agents into Application Logic

  • Chaining workflows and orchestrating tasks
  • Aligning agent behavior with business logic
  • Handling persistence, memory, and data patterns

Testing, Reliability, and Safety Considerations

  • Strategies for testing agent-first systems
  • Ensuring predictable and secure agent behavior
  • Implementing error handling and fallback mechanisms

Deploying Agent-First Applications

  • Preparing applications for production environments
  • Exploring deployment options and pipelines
  • Monitoring agents post-deployment

Summary and Next Steps

Requirements

  • A solid understanding of software development workflows
  • Practical experience with JavaScript or Python
  • Familiarity with modern IDEs

Target Audience

  • Software developers
  • Full-stack engineers
  • AI-native development teams

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