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Duration 14 hours
Course Outline
Introduction to Agent-First IDEs
- Grasping the transition from conventional IDEs to agent-first architectures
- Fundamental concepts underpinning AI-driven development environments
- The role of Antigravity within the contemporary engineering toolchain
Installing and Launching Google Antigravity
- System prerequisites and installation procedures
- Initial setup and workspace configuration
- Walkthrough of the standard interface layout
Exploring the Editor View
- Primary editing capabilities and navigation
- Inline agent interactions within the editor
- Managing file modifications and project assets
Working with the Manager View
- Overview of task orchestration and workflow management
- Evaluating and approving agent actions
- Monitoring project activity and agent status
Understanding Agents in Antigravity
- Categories of agents and their respective capabilities
- Mechanisms by which agents interpret intent and execute tasks
- Best practices for prompting and guiding agents
Creating and Automating Simple Tasks
- Generating starter code and templates
- Employing agents to refactor or improve existing code
- Implementing validation and review steps via agents
Managing Projects in an Agent-Driven Environment
- Folder hierarchies and file organization standards
- Tracking changes and project states using agents
- Coordinating automation across various tasks
Scaling Up: Practical Applications for Beginners
- Developing small utilities with agents
- Integrating agents into iterative development cycles
- Utilizing Antigravity for documentation and code refactoring
Summary and Next Steps
Requirements
- A solid grasp of fundamental software development processes
- Experience utilizing any contemporary IDE
- Knowledge of version control principles
Audience
- Developers interested in AI-assisted development
- Software engineers new to agent-first coding
- Technical leaders investigating AI-driven engineering solutions