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 Duration 14 hours

Course Outline

Foundations of Agent-Centric IDEs

  • Comprehending the transition from conventional IDEs to agent-first architectures
  • Underlying principles of AI-enabled development ecosystems
  • Positioning Antigravity within the contemporary engineering toolset

Deployment and Initialization of Google Antigravity

  • System prerequisites and installation protocols
  • Preliminary setup and workspace customization
  • Walkthrough of the standard interface configuration

Navigating the Editor Interface

  • Primary editing functionalities and navigation controls
  • Engaging with inline agents directly within the editor
  • Oversight of file modifications and project resources

Utilizing the Manager Interface

  • Overview of workflow orchestration and task management
  • Evaluating and authorizing agent-driven actions
  • Monitoring project progress and agent operational status

Conceptualizing Agents within Antigravity

  • Categorization of agents and their respective capabilities
  • Mechanisms for intent interpretation and task execution
  • Optimal strategies for directive prompting and agent supervision

Automating Basic Development Tasks

  • Creation of foundational code structures and templates
  • Employing agents to refactor or augment existing codebases
  • Implementing validation and review procedures via agents

Project Management in an Agent-Led Context

  • Directory hierarchies and file organization standards
  • Monitoring changes and project states through agent assistance
  • Orchestrating automation across concurrent tasks

Advanced Applications: Real-World Scenarios for Novices

  • Construction of lightweight utilities using agent support
  • Incorporating agents into iterative development cycles
  • Leveraging Antigravity for documentation refinement and code optimization

Conclusion and Future Pathways

Requirements

  • Foundational knowledge of standard software development lifecycles
  • Proficiency in utilizing contemporary Integrated Development Environments (IDEs)
  • Working familiarity with version control principles

Target Audience

  • Developers interested in exploring AI-assisted creation processes
  • Software engineers adopting agent-centric coding paradigms
  • Technical leaders evaluating AI-powered engineering solutions

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