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Course Outline
Introduction to AI-Driven Development
- Survey of AI-assisted coding tools and emerging trends
- The role of Cursor in contemporary development environments
- Primary productivity gains and associated safety considerations
Initial Setup with Cursor
- Installing and configuring Cursor
- Linking with Git and widely used code repositories
- Navigating the interface and understanding core functionalities
Leveraging AI Code Completion and Inline Recommendations
- Utilizing context-sensitive code completions
- Formulating effective prompts to optimize AI output
- Adjusting AI behavior to align with project-specific standards
Intelligent Editing and Refactoring
- Implementing AI-driven refactoring and edit recommendations
- Employing “Edit with AI” for swift code transformations
- Preserving code consistency and readability
In-Editor Chat and Documentation Support
- Using the embedded chat feature for code comprehension and debugging
- Creating and reviewing documentation with AI assistance
- Addressing code issues through contextual insights
Securing and Validating AI Recommendations
- Verifying accuracy and avoiding uncritical adoption
- Best practices for version control and code review workflows
- Maintaining security and compliance within AI-assisted processes
Team Collaboration and Workflow Refinement
- Efficient onboarding of teams to Cursor
- Integrating Cursor with current CI/CD pipelines
- Optimizing shared configurations and collaborative editing
Expanding Cursor Capabilities and Ongoing Learning
- Integrating third-party plugins and APIs
- Adapting to new Cursor features and updates
- Exploring future directions in AI-driven software engineering
Wrap-Up and Future Actions
Requirements
- Foundational knowledge of core programming concepts
- Practical experience with at least one programming language (such as Python, JavaScript, or Java)
- Comfort with using a code editor or IDE
Intended Audience
- Junior software developers
- Mid-level engineers looking to incorporate AI coding assistants
- Development teams transitioning to AI-enabled workflows
14 Hours