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Course Outline
Introduction to AI-Enhanced Development
- Survey of AI-assisted coding tools and current industry trends
- The role of Cursor in contemporary development environments
- Key productivity advantages and critical safety considerations
Getting Started with Cursor
- Installation and configuration of Cursor
- Linking with Git and widely used code repositories
- Familiarizing with the user interface and essential features
Leveraging AI Code Completion and Inline Suggestions
- Utilizing context-aware code completions
- Formulating effective prompts for optimal AI outcomes
- Adjusting AI behavior to adhere to project-specific standards
Smart Editing and Refactoring
- Implementing AI-driven refactor and edit recommendations
- Using “Edit with AI” for swift code transformations
- Preserving code consistency and readability
In-Editor Chat and Documentation Support
- Employing built-in chat for code comprehension and debugging
- Creating and reviewing documentation with AI assistance
- Tackling code issues using contextual insights
Safe Usage and Verification of AI Suggestions
- Assessing accuracy and avoiding uncritical acceptance
- Best practices for version control and review cycles
- Guaranteeing security and compliance within AI-assisted workflows
Team Collaboration and Workflow Enhancement
- Efficiently onboarding teams to Cursor
- Integrating Cursor into established CI/CD pipelines
- Optimizing shared settings and collaborative editing features
Extending Cursor and Continuous Development
- Incorporating third-party plugins and APIs
- Adapting to new Cursor features and updates
- Investigating future trends in AI-driven software engineering
Summary and Next Steps
Requirements
- A solid grasp of fundamental programming concepts.
- Practical experience with at least one language such as Python, JavaScript, or Java.
- Comfortable navigating a code editor or IDE.
Target Audience
- Junior software developers.
- Mid-level engineers looking to incorporate AI coding assistants.
- Development teams transitioning to AI-powered workflows.
14 Hours