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Course Outline

Introduction to Agent-First IDEs

  • Understanding the transition from traditional IDEs to agent-first designs.
  • Core concepts underpinning AI-driven development environments.
  • The role of Antigravity within 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

  • Key editing features and navigation tools.
  • Inline agent interactions within the editor.
  • Managing 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 capabilities.
  • How agents interpret intent and execute tasks.
  • Best practices for prompting and directing agents.

Creating and Automating Simple Tasks

  • Generating starter code and templates.
  • Using agents to refactor or enhance existing code.
  • Applying validation and review steps through agents.

Managing Projects in an Agent-Driven Environment

  • Folder structure and file organization conventions.
  • Tracking changes and project states with agents.
  • Coordinating automation across multiple tasks.

Scaling Up: Practical Use Cases for Beginners

  • Building small utilities with agents.
  • Integrating agents into iterative development work.
  • Using Antigravity for documentation and code cleanup.

Summary and Next Steps

Requirements

  • A foundational understanding of basic software development workflows.
  • Experience with any modern IDE.
  • Familiarity with version control concepts.

Target Audience

  • Developers interested in AI-assisted development.
  • Software engineers new to agent-first coding paradigms.
  • Technical leads exploring AI-driven engineering tools.
 14 Hours

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