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Duration 14 hours
Course Outline
Foundations of Agent-Centric IDEs
- Comprehending the transition from conventional IDEs to agent-first architectures
- Underlying principles of AI-enabled development ecosystems
- Positioning Antigravity within the contemporary engineering toolset
Deployment and Initialization of Google Antigravity
- System prerequisites and installation protocols
- Preliminary setup and workspace customization
- Walkthrough of the standard interface configuration
Navigating the Editor Interface
- Primary editing functionalities and navigation controls
- Engaging with inline agents directly within the editor
- Oversight of file modifications and project resources
Utilizing the Manager Interface
- Overview of workflow orchestration and task management
- Evaluating and authorizing agent-driven actions
- Monitoring project progress and agent operational status
Conceptualizing Agents within Antigravity
- Categorization of agents and their respective capabilities
- Mechanisms for intent interpretation and task execution
- Optimal strategies for directive prompting and agent supervision
Automating Basic Development Tasks
- Creation of foundational code structures and templates
- Employing agents to refactor or augment existing codebases
- Implementing validation and review procedures via agents
Project Management in an Agent-Led Context
- Directory hierarchies and file organization standards
- Monitoring changes and project states through agent assistance
- Orchestrating automation across concurrent tasks
Advanced Applications: Real-World Scenarios for Novices
- Construction of lightweight utilities using agent support
- Incorporating agents into iterative development cycles
- Leveraging Antigravity for documentation refinement and code optimization
Conclusion and Future Pathways
Requirements
- Foundational knowledge of standard software development lifecycles
- Proficiency in utilizing contemporary Integrated Development Environments (IDEs)
- Working familiarity with version control principles
Target Audience
- Developers interested in exploring AI-assisted creation processes
- Software engineers adopting agent-centric coding paradigms
- Technical leaders evaluating AI-powered engineering solutions