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Duration 14 hours
Course Outline
Introduction to Agent-First IDEs
- Grasping the transition from conventional IDEs to agent-first architecture
- Key concepts underpinning AI-driven development ecosystems
- Antigravity’s role within the contemporary engineering toolset
Setting Up and Launching Google Antigravity
- Hardware requirements and the installation process
- Initial setup and workspace configuration
- A walkthrough of the default interface layout
Navigating the Editor View
- Primary editing features and navigation tools
- Engaging with inline agents within the editor
- Overseeing file modifications and project assets
Utilizing the Manager View
- Overview of task orchestration and workflow management
- Reviewing and authorizing agent actions
- Monitoring project progress and agent status
Comprehending Agents in Antigravity
- Categories of agents and their specific functions
- How agents interpret user intent to execute tasks
- Effective strategies for prompting and directing agents
Creating and Automating Basic Tasks
- Generating initial code snippets and templates
- Leveraging agents to refactor or improve existing code
- Implementing validation and review procedures via agents
Overseeing Projects in an Agent-Driven Context
- Folder structures and file organization standards
- Tracking modifications and project states with agent assistance
- Coordinating automation across various tasks
Scaling Up: Real-World Applications for Beginners
- Developing small utility tools with agent support
- Incorporating agents into iterative development cycles
- Utilizing Antigravity for documentation and code maintenance
Conclusion and Future Directions
Requirements
- Foundational knowledge of standard software development processes
- Hands-on experience with contemporary IDEs
- Becoming familiar with version control principles
Target Audience
- Developers interested in AI-assisted programming
- Software engineers new to agent-first coding paradigms
- Technical leads evaluating AI-powered engineering solutions