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Course Outline
Introduction to Agent-First IDEs
- Understanding the transition from traditional IDEs to agent-first designs
- Key concepts underlying AI-driven development environments
- The position of Antigravity within the modern engineering toolchain
Installing and Launching Google Antigravity
- System requirements and installation procedures
- Initial setup and workspace configuration
- An overview of the default interface layout
Exploring the Editor View
- Primary editing features and navigation controls
- Inline agent interactions within the editor
- Handling file changes and managing project assets
Working with the Manager View
- An overview of task orchestration and workflows
- Reviewing and authorizing agent actions
- Monitoring project activity and agent status
Understanding Agents in Antigravity
- Different types of agents and their respective capabilities
- How agents interpret intent and carry out tasks
- Best practices for prompting and guiding agents
Creating and Automating Simple Tasks
- Generating starter code and templates
- Utilizing agents to refactor or improve existing code
- Implementing validation and review processes through agents
Managing Projects in an Agent-Driven Environment
- Folder structures and file organization conventions
- Tracking changes and project states using agents
- Coordinating automation across various tasks
Scaling Up: Practical Use Cases for Beginners
- Developing small utilities with agent assistance
- Incorporating agents into iterative development cycles
- Utilizing Antigravity for documentation and code maintenance
Summary and Next Steps
Requirements
- A solid grasp of basic software development workflows
- Experience using any modern Integrated Development Environment (IDE)
- Knowledge of version control principles
Target Audience
- Developers interested in AI-assisted development
- Software engineers new to agent-first coding
- Technical leads evaluating AI-driven engineering tools
14 Hours