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Duration 14 hours
Course Outline
Introduction to AI-Driven Development
- Overview of trends in AI-assisted coding tools
- The role of Cursor in contemporary development environments
- Key productivity enhancements and safety considerations
Getting Started with Cursor
- Installation and configuration of Cursor
- Integration with Git and popular code repositories
- Exploration of the user interface and essential features
Leveraging AI Code Completion and Inline Suggestions
- Utilizing context-aware code completions
- Crafting effective prompts for optimal AI output
- Calibrating AI behavior to align with project standards
Intelligent Editing and Refactoring
- Implementing AI-driven refactoring and edit recommendations
- Using “Edit with AI” for rapid code transformations
- Maintaining code consistency and readability
In-Editor Chat and Documentation Support
- Utilizing built-in chat for code comprehension and debugging
- Generating and reviewing documentation via AI
- Resolving code issues using contextual insights
Secure Utilization and Verification of AI Recommendations
- Assessing accuracy and avoiding uncritical acceptance
- Best practices for version control and code review processes
- Safeguarding security and compliance within AI-assisted workflows
Team Collaboration and Workflow Enhancement
- Efficient onboarding of teams to Cursor
- Integrating Cursor with existing CI/CD pipelines
- Optimizing shared settings and collaborative editing features
Extending Cursor and Continuous Development
- Integration of third-party plugins and APIs
- Adapting to new Cursor features and software updates
- Exploring emerging trends in AI-driven software development
Conclusion and Future Steps
Requirements
- Foundational understanding of basic programming concepts
- Proficiency in at least one programming language (e.g., Python, JavaScript, or Java)
- Experience with using 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