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Duration 14 hours
Course Outline
Introduction to Agent-First IDEs
- Examining the transition from conventional IDEs to agent-first architectures
- Foundational concepts underlying AI-driven development environments
- The position of Antigravity within the modern engineering toolkit
Installation and Initialization of Google Antigravity
- System prerequisites and the installation process
- Initial configuration and workspace arrangement
- An overview of the default interface structure
Navigating the Editor View
- Primary editing capabilities and navigation methods
- Interacting with agents inline within the editor
- Overseeing file modifications and project resources
Utilizing the Manager View
- An overview of task orchestration and workflow management
- Assessing and endorsing agent-initiated actions
- Tracking project activity and agent performance
Comprehending Agents within Antigravity
- Different agent types and their respective capabilities
- The mechanism by which agents interpret intent and perform tasks
- Best practices for issuing prompts and directing agent behavior
Creation and Automation of Basic Tasks
- Producing initial code and templates
- Leveraging agents to refactor or improve existing code
- Implementing validation and review processes via agents
Project Management in an Agent-Driven Setting
- Folder hierarchies and file organization standards
- Monitoring changes and project status using agents
- Harmonizing automation across various tasks
Expanding Scope: Practical Applications for Beginners
- Developing small-scale utilities with agent assistance
- Incorporating agents into iterative development cycles
- Employing Antigravity for documentation and code tidying
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental software development processes.
- Practical experience with contemporary IDEs.
- Familiarity with version control principles.
Target Audience
- Developers interested in AI-assisted programming.
- Software engineers beginning their journey with agent-first coding.
- Technical leads evaluating AI-powered engineering tools.