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 Duration 21 hours

Course Outline

Foundations of Agent-First Development

  • Understanding autonomous and semi-autonomous agent concepts
  • Adopting the agent-first architectural approach
  • Determining the optimal scenarios for agent-driven workflows

Navigating the Antigravity IDE

  • Workspace structure and navigation basics
  • Overview of the editor, browser pane, and terminal
  • Configuring the development environment

Creating Your Initial Agent-Driven Application

  • Project initialization and setup
  • Defining agent roles and functional capabilities
  • Executing agents within the development environment

Advanced Exploration of the Agent Manager

  • Overseeing multi-agent lifecycles
  • Facilitating agent-to-agent collaboration
  • Tracking agent activity and status changes

Agent Utilities: Terminal, Browser, and Execution Context

  • Implementing live debugging workflows
  • Leveraging the browser view for agent-directed tasks
  • Running agent commands via the terminal

Weaving Agents into Application Logic

  • Chaining workflows and orchestrating tasks
  • Aligning agent actions with business logic
  • Managing persistence, memory, and data processing patterns

Testing, Reliability, and Safety Protocols

  • Formulating testing strategies for agent-first systems
  • Guaranteeing predictable and secure agent behavior
  • Implementing error handling and fallback strategies

Launching Agent-First Applications

  • Preparing applications for production environments
  • Evaluating deployment options and pipelines
  • Monitoring agent performance post-deployment

Conclusion and Future Directions

Requirements

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

Target Audience

  • Software developers
  • Full-stack engineers
  • AI-centric development teams

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