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 Duration 14 hours

Course Outline

Introduction to Agent-First IDEs

  • Examining the transition from conventional IDEs to agent-centric designs
  • Key principles underlying AI-powered development environments
  • The role of Antigravity within the contemporary engineering toolchain

Installing and Launching Google Antigravity

  • System prerequisites and the installation process
  • Initial setup and workspace configuration
  • An overview of the default interface structure

Exploring the Editor View

  • Primary editing tools and navigation methods
  • Engaging with inline agents within the editor
  • Overseeing file modifications and project assets

Working with the Manager View

  • An introduction to task orchestration and workflow management
  • Evaluating and approving agent activities
  • Tracking project progress and agent status

Understanding Agents in Antigravity

  • Categories of agents and their respective functions
  • How agents interpret user intent and carry out tasks
  • Effective strategies for prompting and guiding agents

Creating and Automating Simple Tasks

  • Producing initial code structures and templates
  • Leveraging agents to refactor or improve existing code
  • Implementing validation and review processes via agents

Managing Projects in an Agent-Driven Environment

  • Standard folder structures and file organization practices
  • Monitoring changes and project states using agents
  • Managing automation across various tasks

Scaling Up: Practical Use Cases for Beginners

  • Developing small-scale utilities with agent assistance
  • Incorporating agents into iterative development cycles
  • Utilizing Antigravity for documentation and code cleanup

Summary and Next Steps

Requirements

  • A solid grasp of fundamental software development processes
  • Hands-on experience with any contemporary IDE
  • Basic knowledge of version control principles

Target Audience

  • Developers interested in AI-enhanced development practices
  • Software engineers exploring agent-first coding paradigms
  • Technical leaders investigating AI-powered engineering solutions

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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