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Duration 14 hours
Course Outline
Introduction to Agent-First IDEs
- Comprehending the transition from conventional IDEs to agent-first architectures
- Foundational principles underlying AI-driven development ecosystems
- The role of Antigravity within the contemporary engineering toolset
Installation and Initialization of Google Antigravity
- System prerequisites and the installation process
- Initial configuration and workspace preparation
- An overview of the standard interface arrangement
Exploring the Editor View
- Primary editing features and navigation methods
- Integrating inline agent interactions within the editor
- Oversight of file modifications and project resources
Working with the Manager View
- Understanding task orchestration and workflow management
- Evaluating and sanctioning agent-executed actions
- Monitoring project dynamics and agent operational status
Understanding Agents in Antigravity
- Categorization of agents and their respective functionalities
- The mechanism by which agents interpret user intent and carry out tasks
- Optimal strategies for directing and prompting agents
Generating and Automating Basic Tasks
- Producing foundational code snippets and templates
- Employing agents to refactor or improve existing codebases
- Implementing validation and review protocols via agents
Project Management in an Agent-Driven Context
- Best practices for folder architecture and file organization
- Tracking modifications and project statuses using agents
- Orchestrating automation across various tasks
Scaling Up: Practical Applications for Novices
- Constructing small-scale utilities with agent assistance
- Embedding agents into iterative development cycles
- Utilizing Antigravity for documentation generation and code maintenance
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental software development processes
- Proficiency with any contemporary Integrated Development Environment
- A basic understanding of version control principles
Target Audience
- Developers interested in AI-assisted programming
- Software engineers new to agent-first coding paradigms
- Technical leaders evaluating AI-driven engineering solutions
