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 Duration 14 hours

Course Outline

Introduction to Agent-First IDEs

  • The shift from traditional IDEs to agent-first design
  • Key concepts underpinning AI-driven development environments
  • The role of Antigravity in the modern engineering toolchain

Installing and Launching Google Antigravity

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

Exploring the Editor View

  • Primary editing capabilities and navigation
  • Inline agent interactions within the editor
  • Handling file changes and project assets

Working with the Manager View

  • Overview of task orchestration and workflows
  • Reviewing and approving agent actions
  • Monitoring project activity and agent status

Understanding Agents in Antigravity

  • Different types of agents and their respective capabilities
  • How agents interpret intent and execute tasks
  • Best practices for prompting and guiding agents

Creating and Automating Simple Tasks

  • Generating starter code and templates
  • Utilizing agents to refactor or enhance existing code
  • Implementing validation and review steps via agents

Managing Projects in an Agent-Driven Environment

  • Folder structure and file organization standards
  • Tracking changes and project states using agents
  • Coordinating automation across multiple tasks

Scaling Up: Practical Use Cases for Beginners

  • Developing small utilities with agents
  • Incorporating agents into iterative development processes
  • Utilizing Antigravity for documentation and code cleanup

Summary and Next Steps

Requirements

  • A foundational grasp of basic software development workflows
  • Experience using any modern IDE
  • Basic knowledge of version control concepts

Audience

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

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