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Course Outline
Introduction to Agent-First IDEs
- Comprehending the transition from conventional IDEs to agent-first design
- Fundamental principles underpinning AI-driven development environments
- Positioning Antigravity within the contemporary engineering toolchain
Installing and Launching Google Antigravity
- System prerequisites and installation procedure
- Initial setup and workspace configuration
- Overview of the default interface arrangement
Exploring the Editor View
- Key editing functionalities and navigation options
- In-editor interactions with inline agents
- Handling file modifications and project assets
Working with the Manager View
- Insight into task orchestration and workflow management
- Assessing and authorizing agent actions
- Monitoring project progress and agent status
Understanding Agents in Antigravity
- Categories of agents and their respective capabilities
- How agents decipher intent and perform tasks
- Effective strategies for prompting and guiding agents
Creating and Automating Simple Tasks
- Generating initial code and templates
- Utilizing agents to refactor or improve existing code
- Implementing validation and review procedures via agents
Managing Projects in an Agent-Driven Environment
- Directory structures and file organization standards
- Tracking changes and project states using agents
- Coordinating automation across various tasks
Scaling Up: Practical Applications for Beginners
- Developing small utilities with agent assistance
- Incorporating agents into iterative development cycles
- Employing Antigravity for documentation and code tidying
Summary and Next Steps
Requirements
- Familiarity with fundamental software development workflows
- Proficiency with any contemporary IDE
- Knowledge of version control principles
Target Audience
- Developers interested in AI-assisted development
- Software engineers new to agent-first coding
- Technical leads investigating AI-driven engineering tools
14 Hours