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 Duration 21 hours

Course Outline

Foundations of Agent-Centric Development

  • Understanding autonomous and semi-autonomous agent concepts
  • Adopting an agent-first architectural perspective
  • Evaluating the timing and rationale for agent-driven workflows

Navigation in the Antigravity IDE

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

Creating Your First Agent-Powered Application

  • Initial project setup and configuration
  • Defining specific agent roles and their capabilities
  • Executing agents within the development sandbox

In-Depth Look at the Agent Manager

  • Managing the lifecycle of multiple agents
  • Facilitating collaboration between agents
  • Tracking agent activity and status states

Agent Utilities: Terminal, Browser, and Runtime Environment

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

Embedding Agents into Application Logic

  • Orchestrating workflows and chaining tasks
  • Aligning agent actions with business rules
  • Implementing patterns for persistence, memory, and data management

Ensuring Testing, Reliability, and Safety

  • Strategies for testing agent-centric systems
  • Safeguarding predictable and secure agent behavior
  • Designing error handling and recovery protocols

Releasing Agent-Centric Applications

  • Readying applications for live production use
  • Reviewing deployment pathways and pipelines
  • Monitoring agent performance post-release

Recap and Future Directions

Requirements

  • A solid grasp of software development lifecycles
  • Proficiency in either JavaScript or Python
  • Comfort with using contemporary IDEs

Target Audience

  • Software Developers
  • Full-Stack Engineers
  • AI-Native Development Teams

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