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 Duration 21 hours

Course Outline

Foundations of Agent-Centric Development

  • Understanding autonomous versus semi-autonomous agent behaviors
  • Adopting the agent-first architectural philosophy
  • Identifying scenarios and benefits of agent-driven workflows

Navigating the Antigravity IDE

  • Understanding workspace structure and navigation
  • Overview of the editor, browser pane, and terminal components
  • Configuring the development environment

Creating Your Initial Agent-Powered Application

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

In-Depth Look at the Agent Manager

  • Controlling multi-agent lifecycles
  • Facilitating agent-to-agent collaboration
  • Tracking agent status and activity logs

Agent Utilities: Terminal, Browser, and Execution Context

  • Implementing live debugging procedures
  • Utilizing the browser view for agent-managed tasks
  • Running agent instructions via the terminal

Embedding Agents into Core Application Logic

  • Chaining workflows and orchestrating complex tasks
  • Aligning agent actions with core business logic
  • Applying patterns for persistence, memory, and data management

Testing, Reliability, and Security Protocols

  • Developing testing strategies for agent-centric architectures
  • Guaranteeing predictable and secure agent behavior
  • Implementing error handling and fallback systems

Launching Agent-Centric Applications

  • Readying your application for production environments
  • Exploring deployment strategies and CI/CD pipelines
  • Monitoring agent performance post-deployment

Key Takeaways and Future Directions

Requirements

  • A solid grasp of standard software development workflows
  • Proficiency in JavaScript or Python
  • Competence with contemporary IDEs

Target Audience

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

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