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Course Outline
Introduction to Agent-First IDEs
- Understanding the transition from conventional IDEs to agent-first design.
- Key concepts underlying AI-driven development environments.
- The role of Antigravity within the modern engineering toolchain.
Installing and Launching Google Antigravity
- System requirements and the installation process.
- Initial setup and workspace configuration.
- A tour of the default interface layout.
Exploring the Editor View
- Primary editing capabilities and navigation methods.
- Inline interactions with agents within the editor.
- Overseeing file modifications and project assets.
Working with the Manager View
- An overview of task orchestration and workflows.
- Reviewing and endorsing agent actions.
- Monitoring project activity and agent status.
Understanding Agents in Antigravity
- Categories of agents and their respective capabilities.
- The mechanism by which agents interpret intent and execute tasks.
- Best practices for prompting and directing 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 agent assistance.
- Integrating agents into iterative development processes.
- Leveraging Antigravity for documentation and code cleanup.
Summary and Next Steps
Requirements
- A grasp of fundamental software development workflows.
- Proficiency with any contemporary IDE.
- Knowledge of version control principles.
Target Audience
- Developers intrigued by AI-assisted development.
- Software engineers new to agent-first coding paradigms.
- Technical leads investigating AI-driven engineering tools.
14 Hours
