Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Foundations of AI-Assisted Development
- Defining AI-assisted coding
- Key features of the Cursor platform
- The role of LLM integration in the development lifecycle
Cursor Configuration and Setup
- Installation and initial configuration steps
- Linking with GitHub and GitLab services
- Navigating the workspace interface and layout
Generating Code with Cursor
- Creating new code snippets through prompting
- Utilizing context-aware suggestions and auto-completions
- Strategies for crafting effective AI prompts
Debugging and Resolving Errors
- Applying AI support to debugging processes
- Recognizing and fixing common development issues
- Conducting AI-guided unit testing and error analysis
Refactoring Code and Generating Documentation
- Implementing AI-driven refactoring methods
- Automating the generation of technical documentation
- Ensuring code consistency in large-scale projects
Connecting Cursor with Development Tools
- Collaborating with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Facilitating team collaboration through AI suggestions
Advanced AI Coding Strategies
- Combining AI models for intricate coding challenges
- Customizing prompts and managing context windows
- Addressing ethical and security aspects of AI development
Conclusion and Future Directions
Requirements
- A solid grasp of standard software development processes
- Proficiency in coding with Python, JavaScript, or TypeScript
- Knowledge of Git and standard code editors
Target Audience
- Software Engineers
- DevOps Specialists
- Professionals interested in AI and automation
21 Hours