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 Duration 14 hours

Course Outline

Overview of Agent-Centric IDEs

  • Transitioning from conventional IDEs to agent-first architectures
  • Fundamental principles of AI-driven development ecosystems
  • Positioning Antigravity within the contemporary engineering stack

Setup and Initialization of Google Antigravity

  • Hardware requirements and the installation process
  • Initial setup and workspace configuration
  • A walkthrough of the standard interface layout

Navigating the Editor View

  • Primary editing capabilities and navigation controls
  • Directing agents through inline interactions
  • Oversight of file modifications and project resources

Utilizing the Manager View

  • Insights into task coordination and workflow management
  • Assessing and sanctioning agent actions
  • Tracking project progress and agent performance

Comprehending Agents within Antigravity

  • Agent categories and their respective functions
  • Mechanisms for intent interpretation and task execution
  • Optimal strategies for prompting and guiding agents

Developing and Automating Basic Tasks

  • Creating initial code structures and templates
  • Employing agents to refactor or improve existing code
  • Implementing verification and review processes via agents

Oversight in an Agent-Powered Setting

  • Conventions for directory structure and file organization
  • Monitoring changes and project status with agent assistance
  • Synchronizing automation across diverse tasks

Expansion: Real-World Scenarios for Novices

  • Constructing compact utilities with agent support
  • Embedding agents into continuous development cycles
  • Leveraging Antigravity for documentation and code refinement

Conclusion and Future Directions

Requirements

  • Familiarity with fundamental software development processes
  • Proficiency with at least one modern IDE
  • Knowledge of version control principles

Target Audience

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

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