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 Duration 21 hours

Course Outline

Introduction to Agent-First Development

  • Core concepts of autonomous and semi-autonomous agents
  • Adopting an agent-first architectural mindset
  • Evaluating the appropriate use cases for agent-driven workflows

Exploring the Antigravity IDE

  • Workspace layout, navigation, and organization
  • Overview of the editor, browser pane, and terminal
  • Configuring the development environment for optimal performance

Building Your First Agent-Driven Application

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

Deep Dive into the Agent Manager

  • Managing the lifecycle of multiple agents
  • Coordinating collaboration between agents
  • Monitoring agent states and activity logs

Agent Tools: Terminal, Browser, and Execution Environment

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

Integrating Agents into Application Logic

  • Chaining workflows and orchestrating tasks
  • Aligning agent behavior with core business logic
  • Patterns for persistence, memory management, and data handling

Testing, Reliability, and Safety Considerations

  • Developing testing strategies for agent-first systems
  • Ensuring agent behavior remains predictable and secure
  • Implementing robust error handling and fallback mechanisms

Deploying Agent-First Applications

  • Preparing applications for production environments
  • Reviewing deployment options and pipeline configurations
  • Monitoring agent performance post-deployment

Summary and Next Steps

Requirements

  • A solid grasp of standard software development workflows.
  • Practical experience working with JavaScript or Python.
  • Familiarity with the features and navigation of modern IDEs.

Target Audience

  • Software developers.
  • Full-stack engineers.
  • Teams specializing in AI-native development practices.

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