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Duration 14 hours (2 days)
Course Outline
Introduction to AI-Enhanced Development
- Overview of AI-assisted coding tools and current industry trends
- The role of Cursor in contemporary development environments
- Key productivity advantages and essential safety considerations
Getting Started with Cursor
- Installation and configuration of Cursor
- Linking Cursor to Git and widely used code repositories
- Exploring the user interface and core functionalities
Utilising AI Code Completion and Inline Suggestions
- Interacting with context-aware code completions
- Formulating effective prompts to achieve superior AI outcomes
- Calibrating AI behaviour to adhere to project-specific standards
Smart Editing and Refactoring
- Applying AI-driven refactoring and editing recommendations
- Leveraging the “Edit with AI” feature for swift transformations
- Preserving code consistency and maintainability
In-Editor Chat and Documentation Support
- Using the integrated chat interface for code comprehension and debugging
- Generating and scrutinising documentation with AI assistance
- Resolving code challenges through contextual insights
Safe Application and Verification of AI Suggestions
- Assessing code correctness to prevent uncritical acceptance
- Best practices for version control and code review procedures
- Upholding security and compliance standards in AI-assisted workflows
Team Collaboration and Workflow Enhancement
- Efficiently onboarding teams to the Cursor platform
- Integrating Cursor with existing CI/CD pipelines
- Optimising shared settings and collaborative editing practices
Extending Cursor and Continuous Development
- Incorporating third-party plugins and APIs
- Adapting to emerging Cursor features and software updates
- Exploring future trajectories in AI-driven software engineering
Summary and Next Steps
Requirements
- A solid grasp of fundamental programming principles
- Practical experience with at least one programming language (such as Python, JavaScript, or Java)
- Comfort in navigating a code editor or integrated development environment
Target Audience
- Entry-level software developers
- Mid-career engineers aiming to incorporate AI coding assistants
- Development teams transitioning to AI-powered operational workflows