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Course Outline
Introduction to AI-Driven Development
- Survey of AI-assisted coding tools and current industry trends
- The position of Cursor within contemporary development environments
- Primary efficiency gains and critical safety factors
Initial Setup with Cursor
- Installation and configuration of Cursor
- Linking Git and mainstream code repositories
- Familiarizing oneself with the interface and essential features
Leveraging AI Code Completion and Inline Recommendations
- Utilizing context-sensitive code completions
- Crafting effective prompts to achieve superior AI outcomes
- Adjusting AI behavior to align with project guidelines
Intelligent Editing and Refactoring
- Implementing AI-driven refactor and edit proposals
- Employing “Edit with AI” for swift code transformations
- Preserving code consistency and readability
In-Editor Chat and Documentation Support
- Utilizing the integrated chat for code comprehension and debugging
- Creating and reviewing documentation with AI assistance
- Addressing code issues using contextual insights
Secure Application and Validation of AI Recommendations
- Verifying accuracy to prevent uncritical acceptance
- Best practices for version control and code review procedures
- Maintaining security and compliance in AI-assisted processes
Team Collaboration and Process Optimization
- Efficiently onboarding teams to Cursor
- Integrating Cursor with current CI/CD pipelines
- Refining shared settings and collaborative editing experiences
Expanding Cursor Capabilities and Ongoing Learning
- Incorporating third-party plugins and APIs
- Keeping pace with new Cursor features and updates
- Investigating emerging trends in AI-driven software development
Recap and Future Steps
Requirements
- Proficiency in fundamental programming concepts
- Practical experience with at least one programming language (e.g., Python, JavaScript, or Java)
- Comfort with using a code editor or IDE
Target Audience
- Junior software developers
- Mid-level engineers aiming to incorporate AI coding assistants
- Development teams implementing AI-driven workflows
14 Hours