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Course Outline
Introduction to Agent-First IDEs
- Understanding the transition from traditional IDEs to agent-first designs.
- Core concepts underpinning 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 configuration and workspace setup.
- An overview of the default interface layout.
Exploring the Editor View
- Key editing features and navigation tools.
- Inline agent interactions within the editor.
- Managing 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 capabilities.
- How agents interpret intent and execute tasks.
- Best practices for prompting and directing agents.
Creating and Automating Simple Tasks
- Generating starter code and templates.
- Using agents to refactor or enhance existing code.
- Applying validation and review steps through agents.
Managing Projects in an Agent-Driven Environment
- Folder structure and file organization conventions.
- Tracking changes and project states with agents.
- Coordinating automation across multiple tasks.
Scaling Up: Practical Use Cases for Beginners
- Building small utilities with agents.
- Integrating agents into iterative development work.
- Using Antigravity for documentation and code cleanup.
Summary and Next Steps
Requirements
- A foundational understanding of basic software development workflows.
- Experience with any modern IDE.
- Familiarity with version control concepts.
Target Audience
- Developers interested in AI-assisted development.
- Software engineers new to agent-first coding paradigms.
- Technical leads exploring AI-driven engineering tools.
14 Hours