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Course Outline

Fundamentals of Agent-Centric Development

  • Understanding autonomous and semi-autonomous agent concepts
  • Adopting an agent-first architectural mindset
  • Identifying scenarios suitable for agent-driven workflows

Navigating the Antigravity IDE

  • Understanding workspace layout and navigation controls
  • Overview of the editor, browser pane, and terminal features
  • Configuring the development environment

Developing Your First Agent-Driven Application

  • Setting up and initializing new projects
  • Defining specific agent roles and capabilities
  • Executing agents within the development context

Advanced Features of the Agent Manager

  • Overseeing multi-agent lifecycle management
  • Facilitating effective collaboration between agents
  • Monitoring agent states and activities in real-time

Agent Utilities: Terminal, Browser, and Execution Context

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

Integrating Agents into Core Application Logic

  • Chaining workflows and orchestrating complex tasks
  • Aligning agent behavior with specific business logic
  • Implementing persistence, memory, and data-handling patterns

Ensuring Testing, Reliability, and Safety

  • Applying testing strategies specific to agent-first systems
  • Guaranteeing predictable and secure agent behavior
  • Implementing robust error handling and fallback mechanisms

Deploying Agent-Centric Applications

  • Preparing applications for production environments
  • Evaluating deployment options and CI/CD pipelines
  • Conducting post-deployment agent monitoring

Conclusion and Future Directions

Requirements

  • Proficiency in software development workflows
  • Practical experience with JavaScript or Python
  • Working knowledge of modern IDEs

Target Audience

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

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