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Course Outline
Introduction to AI-Enhanced Development
- Survey of AI-assisted coding tools and current trends
- The role of Cursor in contemporary development environments
- Major productivity advantages and safety considerations
Getting Started with Cursor
- Installation and configuration of Cursor
- Linking to Git and widely used code repositories
- Exploring the user interface and primary features
Utilizing AI Code Completion and Inline Suggestions
- Interacting with context-aware code completions
- Crafting effective prompts for superior AI output
- Tuning AI behavior to adhere to project standards
Smart Editing and Refactoring
- Implementing AI-driven refactoring and edit suggestions
- Leveraging “Edit with AI” for quick transformations
- Preserving code consistency and readability
In-Editor Chat and Documentation Assistance
- Employing the integrated chat for code comprehension and debugging
- Generating and assessing documentation with AI
- Resolving code issues using contextual insights
Safe Use and Verification of AI Suggestions
- Assessing accuracy and preventing blind acceptance
- Best practices for version control and review procedures
- Safeguarding security and compliance in AI-assisted workflows
Team Collaboration and Workflow Optimization
- Efficiently onboarding teams to Cursor
- Integrating Cursor with existing CI/CD pipelines
- Optimizing shared settings and collaborative editing
Extending Cursor and Continuous Learning
- Integrating third-party plugins and APIs
- Adapting to new Cursor features and updates
- Investigating future trends in AI-driven software development
Summary and Next Steps
Requirements
- A foundational understanding of programming concepts
- Hands-on experience with at least one programming language (e.g., Python, JavaScript, or Java)
- Acquaintance with operating a code editor or IDE
Target Audience
- Junior software developers
- Mid-level engineers aiming to integrate AI coding assistants
- Development teams implementing AI-powered workflows
14 Hours