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 Duration 21 hours

Course Outline

Foundations of Agent-First Development

  • Principles of autonomous and semi-autonomous agents
  • Adopting an agent-first architectural perspective
  • Determining the appropriate timing and rationale for agent-driven processes

Navigating the Antigravity IDE

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

Constructing Your Initial Agent-Driven Project

  • Initializing project setup
  • Establishing agent roles and defining capabilities
  • Executing agents within the development context

Advanced Usage of the Agent Manager

  • Controlling multi-agent lifecycle management
  • Facilitating collaborative agent interactions
  • Tracking agent activity and monitoring states

Agent Utilities: Terminal, Browser, and Runtime Environment

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

Embedding Agents into Application Logic

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

Quality Assurance, Reliability, and Security Protocols

  • Applying testing strategies to agent-first architectures
  • Guaranteeing predictable and secure agent operations
  • Implementing error handling and fallback solutions

Releasing Agent-First Applications

  • Preparing applications for production environments
  • Exploring deployment strategies and CI/CD pipelines
  • Monitoring agents after deployment

Recap and Future Directions

Requirements

  • Proficiency in standard software development processes
  • Practical experience with JavaScript or Python
  • Working knowledge of contemporary IDEs

Target Audience

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

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