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Duration 14 hours
Course Outline
Introduction to AI-Augmented Development
- Overview of AI-assisted coding tools and industry trends
- The role of Cursor in contemporary development environments
- Key productivity gains and safety considerations
Getting Started with Cursor
- Installation and configuration of Cursor
- Linking with Git and common code repositories
- Navigating the user interface and core functionalities
Leveraging AI Code Completion and Inline Suggestions
- Utilizing context-aware code completions
- Crafting effective prompts for optimal AI output
- Adjusting AI behavior to align with project standards
Smart Editing and Refactoring
- Implementing AI-driven refactoring and edit recommendations
- Using “Edit with AI” for quick code transformations
- Preserving 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
- Tackling code issues with contextual insights
Secure Usage and Validation of AI Suggestions
- Assessing accuracy and avoiding blind adoption
- Best practices for version control and review procedures
- Maintaining security and compliance in AI-assisted processes
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 Ongoing Learning
- Integrating third-party plugins and APIs
- Adapting to new Cursor features and updates
- Exploring future trends in AI-driven software engineering
Summary and Next Steps
Requirements
- A grasp of fundamental programming principles
- Proficiency in at least one programming language (e.g., Python, JavaScript, or Java)
- Basic familiarity with code editors or IDEs
Target Audience
- Junior software developers
- Mid-level engineers aiming to integrate AI coding assistants
- Development teams transitioning to AI-enabled workflows