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 Duration 21 hours

Course Outline

Fundamentals of Agent-Centric Development

  • Understanding autonomous versus semi-autonomous agent behaviors
  • Adopting an agent-first architectural perspective
  • Identifying optimal scenarios for agent-driven workflows

Navigating the Antigravity IDE

  • Interface layout and efficient navigation techniques
  • Overview of the editor, browser pane, and terminal functionalities
  • Configuring your optimal development environment

Constructing Your Initial Agent-Driven Application

  • Establishing the project structure and initialization
  • Specifying agent roles and defining their capabilities
  • Launching agents within the development sandbox

In-Depth Analysis of the Agent Manager

  • Oversight of multi-agent lifecycle management
  • Facilitating collaboration between multiple agents
  • Tracking agent states and monitoring activity

Agent Utilities: Terminal, Browser, and Execution Context

  • Implementing live debugging workflows
  • Leveraging the browser interface for agent-led operations
  • Dispatching agent commands via the terminal

Embedding Agents into Core Application Logic

  • Chaining workflows and orchestrating complex tasks
  • Aligning agent actions with core business logic
  • Implementing persistence, memory retention, and data management strategies

Quality Assurance, Reliability, and Safety Protocols

  • Developing testing frameworks for agent-first architectures
  • Guaranteeing predictable and secure agent operations
  • Designing robust error handling and fallback solutions

Rolling Out Agent-Centric Applications

  • Optimizing applications for production environments
  • Evaluating deployment strategies and CI/CD pipelines
  • Implementing continuous post-deployment agent monitoring

Wrap-Up and Future Trajectory

Requirements

  • Solid grasp of standard software development lifecycle processes
  • Practical experience with JavaScript or Python programming
  • Comfortable using contemporary Integrated Development Environments (IDEs)

Target Audience

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

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