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Course Outline
Introduction to AI-Enhanced Development
- Overview of AI-assisted coding tools and current trends
- The role of Cursor in contemporary development environments
- Key productivity advantages and associated safety considerations
Getting Started with Cursor
- Installation and initial configuration of Cursor
- Connecting to Git and popular code repositories
- Familiarising oneself with the user interface and core functionalities
Leveraging AI Code Completion and Inline Suggestions
- Utilising context-aware code completions
- Crafting effective prompts to enhance AI output quality
- Calibrating AI behaviour to align with project standards
Smart Editing and Refactoring
- Applying AI-driven recommendations for refactoring and editing
- Utilising "Edit with AI" for swift code transformations
- Preserving code consistency and readability
In-Editor Chat and Documentation Support
- Employing the built-in chat feature for code comprehension and debugging
- Generating and reviewing documentation with the aid of AI
- Resolving code issues using contextual insights
Safe Usage and Verification of AI Suggestions
- Evaluating code 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 Optimisation
- Efficiently onboarding teams to the Cursor platform
- Integrating Cursor with existing CI/CD pipelines
- Optimising shared settings for collaborative editing
Extending Cursor and Continuous Learning
- Integrating third-party plugins and APIs
- Adapting to new features and updates in Cursor
- Exploring emerging trends in AI-driven software development
Summary and Next Steps
Requirements
- A foundational understanding of basic programming concepts
- Practical experience with at least one programming language (e.g., Python, JavaScript, or Java)
- Familiarity with operating a code editor or Integrated Development Environment (IDE)
Target Audience
- Junior software developers
- Mid-level engineers aiming to incorporate AI coding assistants into their workflow
- Development teams transitioning to AI-powered development processes
14 Hours