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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