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 Duration 21 hours

Course Outline

Introduction to Agent-Centric Development

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

Discovering the Antigravity IDE

  • Navigating the workspace layout
  • Overview of the editor, browser pane, and terminal interfaces
  • Configuring your development environment

Creating Your First Agent-Driven Application

  • Initial project setup and configuration
  • Specifying agent roles and functional capabilities
  • Launching agents within the development sandbox

In-Depth Look at the Agent Manager

  • Oversight of multi-agent lifecycle management
  • Facilitating collaboration between agents
  • Monitoring agent states and operational activity

Agent Utilities: Terminal, Browser, and Execution Context

  • Implementing live debugging techniques
  • Leveraging the browser view for agent-directed tasks
  • Executing agent commands via the terminal interface

Integrating Agents into Core Application Logic

  • Chaining workflows and orchestrating tasks
  • Aligning agent actions with business logic requirements
  • Implementing patterns for persistence, memory management, and data handling

Testing, Reliability, and Security Protocols

  • Strategies for testing agent-centric systems
  • Safeguarding predictable and secure agent behavior
  • Establishing robust error handling and fallback solutions

Deploying Agent-Centric Solutions

  • Preparing applications for production environments
  • Exploring deployment strategies and CI/CD pipelines
  • Monitoring agent performance post-deployment

Recap and Future Recommendations

Requirements

  • A solid grasp of standard software development lifecycles
  • Proficiency in JavaScript or Python
  • Comfort with contemporary Integrated Development Environments (IDEs)

Target Audience

  • Software developers
  • Full-stack engineers
  • Development teams focused on AI-native solutions

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