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 Duration 14 hours

Course Outline

Introduction to Agent-First IDEs

  • Comprehending the transition from traditional IDEs to agent-first architectures
  • Fundamental 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 setup and workspace configuration
  • A guided tour of the default interface layout

Exploring the Editor View

  • Key editing capabilities and navigation tools
  • Engaging with agents inline within the editor
  • Overseeing file modifications and project assets

Working with the Manager View

  • An overview of task orchestration and workflow management
  • Reviewing and authorizing agent-driven actions
  • Monitoring project progress and agent status updates

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 guiding agent behavior

Creating and Automating Simple Tasks

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

Managing Projects in an Agent-Driven Environment

  • Folder structures and file organization standards
  • 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
  • Incorporating agents into iterative development cycles
  • Leveraging Antigravity for documentation generation and code maintenance

Summary and Next Steps

Requirements

  • A solid grasp of fundamental software development workflows
  • Practical experience using any modern Integrated Development Environment (IDE)
  • Familiarity with core version control concepts

Target Audience

  • Developers interested in AI-assisted coding practices
  • Software engineers new to the concept of agent-first development
  • Technical leaders investigating AI-driven engineering solutions

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