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Duration 14 hours
Course Outline
Introduction to Agent-First IDEs
- The shift from traditional IDEs to agent-first design
- Key concepts underpinning AI-driven development environments
- The role of Antigravity in the modern engineering toolchain
Installing and Launching Google Antigravity
- System requirements and the installation process
- Initial configuration and workspace setup
- An overview of the default interface layout
Exploring the Editor View
- Primary editing capabilities and navigation
- Inline agent interactions within the editor
- Handling file changes and project assets
Working with the Manager View
- Overview of task orchestration and workflows
- Reviewing and approving 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 execute tasks
- Best practices for prompting and guiding agents
Creating and Automating Simple Tasks
- Generating starter code and templates
- Utilizing agents to refactor or enhance existing code
- Implementing validation and review steps via agents
Managing Projects in an Agent-Driven Environment
- Folder structure and file organization standards
- Tracking changes and project states using agents
- Coordinating automation across multiple tasks
Scaling Up: Practical Use Cases for Beginners
- Developing small utilities with agents
- Incorporating agents into iterative development processes
- Utilizing Antigravity for documentation and code cleanup
Summary and Next Steps
Requirements
- A foundational grasp of basic software development workflows
- Experience using any modern IDE
- Basic knowledge of version control concepts
Audience
- Developers interested in AI-assisted development
- Software engineers new to agent-first coding
- Technical leads investigating AI-driven engineering tools