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Duration 14 hours
Course Outline
Overview of Agent-First IDEs
- Recognizing the transition from conventional IDEs to agent-first architecture
- Fundamental concepts underpinning AI-driven development environments
- Positioning Antigravity within the contemporary engineering toolkit
Setup and Launch of Google Antigravity
- Hardware requirements and installation procedures
- Preliminary setup and workspace arrangement
- Orientation of the standard interface layout
Exploration of the Editor View
- Primary editing functions and navigation techniques
- Interacting with agents directly within the editor
- Handling file modifications and project resources
Utilizing the Manager View
- Overview of workflow coordination and task management
- Evaluating and sanctioning agent operations
- Observing project progress and agent performance
Comprehending Agents in Antigravity
- Categories of agents and their functional scope
- How agents decipher intent and carry out tasks
- Recommended approaches for directing and prompting agents
Developing and Automating Basic Tasks
- Generating initial code snippets and templates
- Employing agents to optimize or improve current code
- Implementing validation and review processes via agents
Project Management in an Agent-Centric Setup
- Directory structures and file organization standards
- Monitoring alterations and project states using agents
- Synchronizing automation across diverse tasks
Expansion: Beginner-Friendly Practical Scenarios
- Constructing minor utilities with agent assistance
- Incorporating agents into iterative development cycles
- Applying Antigravity for documentation and code maintenance
Recap and Future Actions
Requirements
- A grasp of fundamental software development processes
- Hands-on experience with contemporary IDEs
- Knowledge of version control principles
Target Audience
- Developers interested in AI-supported coding practices
- Software engineers new to agent-centric development
- Technical leaders investigating AI-powered engineering solutions