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Duration 14 hours
Course Outline
Introduction to Agent-First IDEs
- Understanding the transition from traditional IDEs to agent-first architectures
- Foundational concepts of AI-driven development environments
- The role of Antigravity in the modern engineering toolchain
Installing and Launching Google Antigravity
- System requirements and installation procedures
- Initial configuration and workspace preparation
- Tour of the default interface layout
Exploring the Editor View
- Primary editing features and navigation options
- Inline agent interactions within the editor
- Handling file modifications and project assets
Working with the Manager View
- Overview of task orchestration and workflow management
- Reviewing and authorizing agent actions
- Monitoring project activity and agent status
Understanding Agents in Antigravity
- Types of agents and their respective capabilities
- How agents interpret intent and execute tasks
- Best practices for prompting and directing agents
Creating and Automating Simple Tasks
- Generating initial code and templates
- Utilizing agents to refactor or improve existing code
- Implementing validation and review steps via agents
Managing Projects in an Agent-Driven Environment
- Folder structure and file organization standards
- Tracking changes and project states using agents
- Coordinating automation across multiple tasks
Scaling Up: Practical Use Cases for Beginners
- Developing small utilities with agent assistance
- Integrating agents into iterative development cycles
- Leveraging Antigravity for documentation and code maintenance
Summary and Next Steps
Requirements
- A solid grasp of fundamental software development workflows
- Practical experience with any contemporary IDE
- Basic knowledge of version control principles
Audience
- Developers interested in AI-assisted development
- Software engineers new to agent-first coding paradigms
- Technical leads investigating AI-powered engineering tools