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 Duration 14 hours

Course Outline

Introduction to Agent-First IDEs

  • Grasping the transition from conventional IDEs to agent-first architectures
  • Key principles underpinning AI-driven development platforms
  • The role of Antigravity within contemporary engineering toolchains

Installation and Initialization of Google Antigravity

  • System prerequisites and the installation process
  • Initial setup and workspace configuration
  • An overview of the standard interface layout

Navigation and Features of the Editor View

  • Primary editing tools and navigation controls
  • Engaging with agents directly within the editor
  • Oversight of file modifications and project assets

Operations in the Manager View

  • Insights into task orchestration and workflow management
  • Evaluation and authorization of agent activities
  • Tracking project progress and agent operational status

Concepts Behind Agents in Antigravity

  • Categories of agents and their respective functional capabilities
  • Mechanisms for agent intent interpretation and task execution
  • Strategies for effective prompting and agent direction

Automation of Basic Development Tasks

  • Creation of initial code structures and templates
  • Leveraging agents for code refactoring and enhancement
  • Implementation of validation and review protocols via agents

Project Administration in an Agent-Driven Context

  • Directory structures and file organization standards
  • Monitoring changes and project states through agent assistance
  • Managing automated processes across multiple tasks

Practical Applications for Emerging Practitioners

  • Construction of small-scale utilities with agent support
  • Integration of agents into iterative development cycles
  • Application of Antigravity for documentation and code maintenance

Recap and Future Directions

Requirements

  • A solid grasp of fundamental software development cycles
  • Hands-on experience with contemporary IDEs
  • Basic knowledge of version control principles

Target Audience

  • Developers interested in AI-assisted coding practices
  • Software engineers new to agent-centric development models
  • Technical leaders evaluating AI-powered engineering solutions

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