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 Duration 14 hours

Course Outline

The Shift to Agent-First IDEs

  • The transition from conventional IDEs to agent-centric architectures
  • Foundational principles of AI-enhanced development ecosystems
  • The role of Antigravity within the contemporary engineering toolset

Setup and Initialization of Google Antigravity

  • Hardware requirements and installation procedures
  • Primary configuration and workspace establishment
  • A comprehensive overview of the standard interface structure

Navigating the Editor View

  • Primary editing functionalities and navigation methods
  • In-line agent interactions within the editing space
  • Handling file modifications and managing project assets

Utilizing the Manager View

  • An overview of task coordination and operational workflows
  • Assessing and authorizing agent-executed actions
  • Overseeing project progress and agent operational states

Grasping Agent Functionality in Antigravity

  • Classifications of agents and their respective capabilities
  • The process by which agents decode intent and perform tasks
  • Optimal strategies for instructing and guiding agents

Generating and Automating Basic Tasks

  • Producing initial code snippets and templates
  • Employing agents to refactor or improve current codebases
  • Implementing validation and review processes via agents

Project Administration in an Agent-Driven Context

  • Directory structures and file organization standards
  • Maintaining oversight of changes and project status through agents
  • Aligning automation across diverse task streams

Expansion: Practical Applications for Novices

  • Developing compact utilities with agent assistance
  • Embedding agents into iterative development cycles
  • Applying Antigravity for documentation tasks and code optimization

Recap and Future Directions

Requirements

  • A solid grasp of standard software development lifecycles
  • Proficiency with at least one contemporary IDE
  • Knowledge of version control principles

Target Participants

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

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