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Duration 14 hours
Course Outline
Overview of Agent-Centric IDEs
- Transitioning from conventional IDEs to agent-first architectures
- Fundamental principles of AI-driven development ecosystems
- Positioning Antigravity within the contemporary engineering stack
Setup and Initialization of Google Antigravity
- Hardware requirements and the installation process
- Initial setup and workspace configuration
- A walkthrough of the standard interface layout
Navigating the Editor View
- Primary editing capabilities and navigation controls
- Directing agents through inline interactions
- Oversight of file modifications and project resources
Utilizing the Manager View
- Insights into task coordination and workflow management
- Assessing and sanctioning agent actions
- Tracking project progress and agent performance
Comprehending Agents within Antigravity
- Agent categories and their respective functions
- Mechanisms for intent interpretation and task execution
- Optimal strategies for prompting and guiding agents
Developing and Automating Basic Tasks
- Creating initial code structures and templates
- Employing agents to refactor or improve existing code
- Implementing verification and review processes via agents
Oversight in an Agent-Powered Setting
- Conventions for directory structure and file organization
- Monitoring changes and project status with agent assistance
- Synchronizing automation across diverse tasks
Expansion: Real-World Scenarios for Novices
- Constructing compact utilities with agent support
- Embedding agents into continuous development cycles
- Leveraging Antigravity for documentation and code refinement
Conclusion and Future Directions
Requirements
- Familiarity with fundamental software development processes
- Proficiency with at least one modern IDE
- Knowledge of version control principles
Target Audience
- Developers interested in AI-assisted coding
- Software engineers new to agent-centric development
- Technical leaders evaluating AI-powered engineering tools