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 Duration 21 hours

Course Outline

Introduction to Agent-First Development

  • Understanding autonomous and semi-autonomous agents
  • The mindset of agent-first architecture
  • Identifying when and why to adopt 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 lifecycles of multiple agents
  • Coordinating collaboration between agents
  • Monitoring agent activity and status

Agent Tools: Terminal, Browser, and Execution Environment

  • Workflows for live debugging
  • Using the browser view for agent-led tasks
  • Executing agent commands via the terminal

Integrating Agents into Application Logic

  • Chaining workflows and orchestrating tasks
  • Linking agent behavior to business logic
  • Patterns for persistence, memory, and data handling

Testing, Reliability, and Safety Considerations

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

Deploying Agent-First Applications

  • Preparing applications for production environments
  • Deployment options and pipeline configurations
  • Monitoring agents after deployment

Summary and Next Steps

Requirements

  • Understanding of software development workflows
  • Proficiency in JavaScript or Python
  • Acquaintance with modern IDEs

Audience

  • Software developers
  • Full-stack engineers
  • Teams focused on AI-native development

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