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Duration 14 hours
Course Outline
Introduction to Agent-First IDEs
- The transition from traditional IDEs to agent-first architectures
- Fundamental concepts underpinning AI-driven development environments
- Antigravity’s position within the modern engineering toolchain
Installing and Launching Google Antigravity
- System prerequisites and the installation process
- Initial setup and workspace configuration
- An overview of the default interface layout
Exploring the Editor View
- Primary editing capabilities and navigation features
- Interacting with agents directly within the editor
- Managing file modifications and project assets
Working with the Manager View
- Understanding task orchestration and workflow management
- Reviewing and authorizing agent actions
- Monitoring project activity and agent performance
Understanding Agents in Antigravity
- Different agent types and their specific capabilities
- How agents interpret intent and carry out tasks
- Best practices for effective prompting and agent direction
Creating and Automating Simple Tasks
- Generating starter code and templates
- Utilizing agents for refactoring and enhancing existing code
- Implementing validation and review steps via agents
Managing Projects in an Agent-Driven Environment
- Folder structures and file organization standards
- Tracking changes and project states with agent assistance
- Coordinating automation across multiple tasks
Scaling Up: Practical Use Cases for Beginners
- Developing small utilities with agent support
- Integrating agents into iterative development cycles
- Leveraging Antigravity for documentation and code cleanup
Summary and Next Steps
Requirements
- A solid grasp of fundamental software development workflows
- Hands-on experience with contemporary IDEs
- A working knowledge of version control principles
Target Audience
- Developers interested in AI-assisted coding
- Software engineers new to agent-first methodologies
- Technical leads evaluating AI-driven engineering solutions