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 Duration 14 hours

Course Outline

Introduction to Agent-First IDEs

  • Comprehending the transition from traditional IDEs to agent-first architectures
  • Key concepts underpinning AI-driven development environments
  • The role of Antigravity within the contemporary engineering toolchain

Installing and Launching Google Antigravity

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

Exploring the Editor View

  • Primary editing functionalities and navigation controls
  • Interacting with agents directly within the editor
  • Managing file modifications and project assets

Working with the Manager View

  • Understanding task orchestration and workflow management
  • Reviewing and approving actions taken by agents
  • Monitoring project activity and agent status indicators

Understanding Agents in Antigravity

  • Different types of agents and their respective capabilities
  • How agents interpret user intent to execute specific tasks
  • Best practices for prompting and directing agent behavior

Creating and Automating Simple Tasks

  • Generating initial code structures and templates
  • Leveraging agents to refactor or enhance existing codebases
  • Implementing validation and review processes via agents

Managing Projects in an Agent-Driven Environment

  • Folder architecture and file organization best practices
  • Tracking changes and project states with agent assistance
  • Coordinating automation across multiple concurrent tasks

Scaling Up: Practical Use Cases for Beginners

  • Developing small-scale utilities using agents
  • Integrating agents into iterative development cycles
  • Utilizing Antigravity for documentation generation and code cleanup

Summary and Next Steps

Requirements

  • A solid grasp of fundamental software development workflows
  • Practical experience with any contemporary IDE
  • Basic familiarity with version control principles

Target Audience

  • Developers interested in AI-assisted development paradigms
  • Software engineers new to agent-first coding methodologies
  • Technical leads investigating AI-driven engineering tools

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