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Duration 21 hours (3 days)
Course Outline
Introduction to AI-Assisted Development
- Defining AI-assisted coding.
- Overview of Cursor’s key features.
- Understanding LLM integration in software development.
Setting Up Cursor
- Installing and configuring the Cursor environment.
- Connecting to GitHub and GitLab.
- Exploring the workspace and layout.
Using Cursor for Code Generation
- Prompting Cursor to create new code snippets.
- Utilizing context-aware suggestions and completions.
- Best practices for crafting effective prompts.
Debugging and Error Resolution
- Applying AI assistance for debugging tasks.
- Identifying and resolving common coding issues.
- Conducting AI-guided unit testing and error analysis.
Code Refactoring and Documentation
- Techniques for AI-driven code refactoring.
- Generating automatic documentation.
- Maintaining consistency across large-scale projects.
Integrating Cursor with Development Tools
- Collaborating with VS Code and terminal tools.
- Incorporating Cursor into CI/CD pipelines.
- Facilitating team collaboration using AI suggestions.
Advanced AI Coding Workflows
- Combining AI models to handle complex coding tasks.
- Customizing prompts and managing context windows.
- Addressing ethical and security considerations in AI-assisted development.
Summary and Next Steps
Requirements
- A solid understanding of software development workflows.
- Practical experience programming in Python, JavaScript, or TypeScript.
- Familiarity with Git and standard code editors.
Target Audience
- Software developers.
- DevOps engineers.
- Enthusiasts of AI and automation technologies.