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Course Outline
Introduction to AI-Enhanced Development
- Survey of AI-assisted coding tools and emerging trends
- The role of Cursor in contemporary development environments
- Primary productivity advantages and safety considerations
Getting Started with Cursor
- Installation and configuration of Cursor
- Integration with Git and major code repositories
- Familiarization with the user interface and core functionalities
Leveraging AI Code Completion and Inline Suggestions
- Utilizing context-aware code completions
- Effective prompting techniques for optimal AI output
- Adjusting AI behavior to align with project standards
Smart Editing and Refactoring
- Implementing AI-driven refactor and edit recommendations
- Employing “Edit with AI” for swift code transformations
- Preserving code consistency and readability
In-Editor Chat and Documentation Support
- Using the integrated chat for code comprehension and debugging
- Generating and verifying documentation with AI assistance
- Troubleshooting code issues using contextual insights
Safe Use and Verification of AI Recommendations
- Assessing accuracy and avoiding uncritical acceptance
- Best practices for version control and code review processes
- Maintaining security and compliance within AI-assisted workflows
Team Collaboration and Workflow Optimization
- Efficient onboarding of teams to Cursor
- Incorporating Cursor into existing CI/CD pipelines
- Refining shared settings and collaborative editing practices
Extending Cursor and Continuous Learning
- Integrating third-party plugins and APIs
- Adapting to new Cursor features and software updates
- Investigating future trends in AI-driven software development
Summary and Next Steps
Requirements
- Knowledge of fundamental programming principles
- Proficiency in at least one programming language (such as Python, JavaScript, or Java)
- Experience using a code editor or IDE
Target Audience
- Entry-level software developers
- Mid-level engineers aiming to incorporate AI coding assistants
- Development teams transitioning to AI-enabled workflows
14 Hours