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 Duration 14 hours

Course Outline

Overview of Agent-First IDEs

  • Recognizing the transition from conventional IDEs to agent-first architecture
  • Fundamental concepts underpinning AI-driven development environments
  • Positioning Antigravity within the contemporary engineering toolkit

Setup and Launch of Google Antigravity

  • Hardware requirements and installation procedures
  • Preliminary setup and workspace arrangement
  • Orientation of the standard interface layout

Exploration of the Editor View

  • Primary editing functions and navigation techniques
  • Interacting with agents directly within the editor
  • Handling file modifications and project resources

Utilizing the Manager View

  • Overview of workflow coordination and task management
  • Evaluating and sanctioning agent operations
  • Observing project progress and agent performance

Comprehending Agents in Antigravity

  • Categories of agents and their functional scope
  • How agents decipher intent and carry out tasks
  • Recommended approaches for directing and prompting agents

Developing and Automating Basic Tasks

  • Generating initial code snippets and templates
  • Employing agents to optimize or improve current code
  • Implementing validation and review processes via agents

Project Management in an Agent-Centric Setup

  • Directory structures and file organization standards
  • Monitoring alterations and project states using agents
  • Synchronizing automation across diverse tasks

Expansion: Beginner-Friendly Practical Scenarios

  • Constructing minor utilities with agent assistance
  • Incorporating agents into iterative development cycles
  • Applying Antigravity for documentation and code maintenance

Recap and Future Actions

Requirements

  • A grasp of fundamental software development processes
  • Hands-on experience with contemporary IDEs
  • Knowledge of version control principles

Target Audience

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

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