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 Duration 14 hours

Course Outline

Foundations of Agent-Centric IDEs

  • Examining the transition from conventional IDEs to agent-led architectures
  • Fundamental principles underpinning AI-driven development ecosystems
  • Positioning Antigravity within the contemporary engineering stack

Deployment and Initialization of Google Antigravity

  • Hardware prerequisites and installation procedures
  • Initial configuration and workspace preparation
  • Reviewing the default interface composition

Deep Dive into the Editor View

  • Primary editing capabilities and navigational tools
  • Real-time agent engagement within the editor context
  • Oversight of file modifications and project resources

Utilizing the Manager View

  • Insights into task coordination and workflow management
  • Evaluation and validation of agent-executed actions
  • Observation of project metrics and agent performance status

Demystifying Agents within Antigravity

  • Classification of agent types and their respective functionalities
  • Mechanisms for intent recognition and task execution
  • Optimal strategies for prompting and guiding agent behavior

Automation of Routine Development Tasks

  • Synthesis of initial code structures and templates
  • Leveraging agents for code refactoring and enhancement
  • Implementation of verification and review protocols via agents

Project Governance in Agent-Led Environments

  • Best practices for directory hierarchies and file management
  • Monitoring state changes and progress via agent assistance
  • Orchestration of automation across concurrent operations

Application Scenarios for Novice Developers

  • Construction of lightweight utilities using agent support
  • Integration of agents into cyclical development processes
  • Utilizing Antigravity for documentation maintenance and code hygiene

Recap and Future Trajectory

Requirements

  • Foundational knowledge of standard software development lifecycles
  • Proficiency with at least one contemporary Integrated Development Environment (IDE)
  • Working familiarity with version control methodologies

Target Audience

  • Software developers interested in AI-augmented coding practices
  • Engineers beginning their journey with agent-centric development
  • Technical leadership evaluating AI-powered engineering solutions

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