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Duration 14 hours
Course Outline
Overview of Agent-First IDEs
- The transition from conventional IDEs to agent-centric design
- Foundational concepts in AI-driven development environments
- The role of Antigravity in contemporary engineering toolchains
Installation and Initial Setup of Google Antigravity
- System prerequisites and installation procedures
- Initial configuration and workspace establishment
- Tour of the standard interface layout
Deep Dive into the Editor View
- Primary editing capabilities and navigation
- Interactive agent engagement within the editor
- Handling file modifications and project assets
Navigating the Manager View
- Overview of task orchestration and workflow management
- Reviewing and approving agent-executed actions
- Monitoring project progress and agent status
Mastering Agents in Antigravity
- Agent types and their respective capabilities
- How agents interpret intent and perform tasks
- Best practices for prompting and guiding agents
Developing and Automating Basic Tasks
- Generating initial code and templates
- Refactoring and improving existing code via agents
- Implementing validation and review processes through agents
Project Management in an Agent-Driven Context
- Folder hierarchy and file organization standards
- Tracking changes and project states using agents
- Coordinating automation across multiple tasks
Scaling Up: Beginner-Focused Practical Scenarios
- Developing small-scale utilities with agent assistance
- Integrating agents into iterative development cycles
- Utilizing Antigravity for documentation and code optimization
Conclusion and Future Pathways
Requirements
- Foundational knowledge of standard software development workflows
- Practical experience using any contemporary IDE
- Basic understanding of version control principles
Target Audience
- Developers interested in AI-assisted coding
- Software engineers new to agent-first paradigms
- Technical leads evaluating AI-driven engineering solutions