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Duration 14 hours
Course Outline
Foundations of Agent-Centric IDEs
- Examining the transition from conventional IDEs to agent-led architectures
- Fundamental principles underpinning AI-driven development ecosystems
- Positioning Antigravity within the contemporary engineering stack
Deployment and Initialization of Google Antigravity
- Hardware prerequisites and installation procedures
- Initial configuration and workspace preparation
- Reviewing the default interface composition
Deep Dive into the Editor View
- Primary editing capabilities and navigational tools
- Real-time agent engagement within the editor context
- Oversight of file modifications and project resources
Utilizing the Manager View
- Insights into task coordination and workflow management
- Evaluation and validation of agent-executed actions
- Observation of project metrics and agent performance status
Demystifying Agents within Antigravity
- Classification of agent types and their respective functionalities
- Mechanisms for intent recognition and task execution
- Optimal strategies for prompting and guiding agent behavior
Automation of Routine Development Tasks
- Synthesis of initial code structures and templates
- Leveraging agents for code refactoring and enhancement
- Implementation of verification and review protocols via agents
Project Governance in Agent-Led Environments
- Best practices for directory hierarchies and file management
- Monitoring state changes and progress via agent assistance
- Orchestration of automation across concurrent operations
Application Scenarios for Novice Developers
- Construction of lightweight utilities using agent support
- Integration of agents into cyclical development processes
- Utilizing Antigravity for documentation maintenance and code hygiene
Recap and Future Trajectory
Requirements
- Foundational knowledge of standard software development lifecycles
- Proficiency with at least one contemporary Integrated Development Environment (IDE)
- Working familiarity with version control methodologies
Target Audience
- Software developers interested in AI-augmented coding practices
- Engineers beginning their journey with agent-centric development
- Technical leadership evaluating AI-powered engineering solutions