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Duration 14 hours
Course Outline
Introduction to Agent-First IDEs
- The evolution from traditional IDEs to agent-centric architectures
- Fundamental concepts of AI-driven development environments
- The position of Antigravity within the modern engineering stack
Installing and Launching Google Antigravity
- System prerequisites and installation procedures
- Initial configuration and workspace establishment
- Overview of the standard interface layout
Exploring the Editor View
- Primary editing tools and navigation features
- Integrated agent interactions within the editor
- Oversight of file modifications and project resources
Working with the Manager View
- Insights into task orchestration and workflow management
- Verification and authorization of agent actions
- Monitoring project progress and agent performance
Understanding Agents in Antigravity
- Categorization of agents and their functional scope
- Mechanisms for interpreting intent and executing tasks
- Effective strategies for prompting and guiding agents
Creating and Automating Simple Tasks
- Generation of initial code and templates
- Utilizing agents for refactoring or code enhancement
- Implementing validation and review processes via agents
Managing Projects in an Agent-Driven Environment
- Directory structures and file organization standards
- Monitoring modifications and project status through agents
- Synchronizing automation across diverse tasks
Scaling Up: Practical Use Cases for Beginners
- Constructing lightweight utilities with agent assistance
- Incorporating agents into iterative development cycles
- Leveraging Antigravity for documentation and code maintenance
Summary and Next Steps
Requirements
- Basic knowledge of software development workflows
- Proficiency with modern IDEs
- Familiarity with version control principles
Target Audience
- Developers interested in AI-assisted coding
- Engineers new to agent-first methodologies
- Technical leads evaluating AI-driven engineering tools