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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 safety considerations
Getting Started with Cursor
- Installation and configuration of Cursor
- Connecting to Git and popular code repositories
- Navigating 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
- Calibrating AI behavior to align with project standards
Smart Editing and Refactoring
- Applying AI-driven refactor and edit recommendations
- Using “Edit with AI” for rapid code transformations
- Preserving code consistency and readability
In-Editor Chat and Documentation Support
- Employing built-in chat for code comprehension and debugging
- Generating and reviewing documentation via AI
- Addressing 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 workflows
- Safeguarding security and compliance in AI-assisted processes
Team Collaboration and Workflow Enhancement
- Streamlining team onboarding 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
- Exploring future trends in AI-driven software development
Summary and Next Steps
Requirements
- Proficiency in fundamental programming concepts
- Hands-on experience with at least one programming language (e.g., Python, JavaScript, or Java)
- Working knowledge of code editors or IDEs
Target Audience
- Junior software developers
- Mid-level engineers aiming to integrate AI coding assistants
- Development teams transitioning to AI-powered workflows
14 Hours