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Duration 14 hours
Course Outline
The Shift to Agent-First IDEs
- The transition from conventional IDEs to agent-centric architectures
- Foundational principles of AI-enhanced development ecosystems
- The role of Antigravity within the contemporary engineering toolset
Setup and Initialization of Google Antigravity
- Hardware requirements and installation procedures
- Primary configuration and workspace establishment
- A comprehensive overview of the standard interface structure
Navigating the Editor View
- Primary editing functionalities and navigation methods
- In-line agent interactions within the editing space
- Handling file modifications and managing project assets
Utilizing the Manager View
- An overview of task coordination and operational workflows
- Assessing and authorizing agent-executed actions
- Overseeing project progress and agent operational states
Grasping Agent Functionality in Antigravity
- Classifications of agents and their respective capabilities
- The process by which agents decode intent and perform tasks
- Optimal strategies for instructing and guiding agents
Generating and Automating Basic Tasks
- Producing initial code snippets and templates
- Employing agents to refactor or improve current codebases
- Implementing validation and review processes via agents
Project Administration in an Agent-Driven Context
- Directory structures and file organization standards
- Maintaining oversight of changes and project status through agents
- Aligning automation across diverse task streams
Expansion: Practical Applications for Novices
- Developing compact utilities with agent assistance
- Embedding agents into iterative development cycles
- Applying Antigravity for documentation tasks and code optimization
Recap and Future Directions
Requirements
- A solid grasp of standard software development lifecycles
- Proficiency with at least one contemporary IDE
- Knowledge of version control principles
Target Participants
- Developers interested in AI-assisted coding practices
- Software engineers new to agent-centric development
- Technical leaders evaluating AI-powered engineering solutions