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Starts 3 July 2025 18:05

Ends 3 July 2025

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Parallel Coding with Claude Code and Cursor MCP Server

Unlock the power of parallel coding in this insightful demonstration featuring Claude Code integrated with the Cursor MCP Server. Dive into the technology and see how these tools can enhance your coding efficiency and performance.
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Overview

Unlock the power of parallel coding in this insightful demonstration featuring Claude Code integrated with the Cursor MCP Server. Dive into the technology and see how these tools can enhance your coding efficiency and performance.

Syllabus

  • Introduction to Parallel Coding
  • Overview of parallel computing concepts
    Benefits of parallel coding in modern applications
  • Introduction to Claude Code
  • Overview of Claude Code functionalities
    Key features and supported languages
  • Introduction to Cursor MCP Server
  • Overview of Cursor MCP Server architecture
    Key features and deployment options
  • Setup and Configuration
  • Installing and configuring Claude Code
    Installing and configuring Cursor MCP Server
  • Basics of Parallel Processing with Claude Code
  • Understanding Claude Code syntax for parallel tasks
    Writing basic parallel code snippets
  • Integrating Claude Code with Cursor MCP Server
  • Establishing connectivity between Claude Code and Cursor MCP Server
    Best practices for integration
  • Advanced Parallel Coding Techniques
  • Optimizing performance with Claude Code
    Error handling in parallel processing
  • Case Study: Implementing Parallel Algorithms
  • Real-world application scenarios
    Step-by-step demonstration of parallel algorithm implementation
  • Performance Monitoring and Debugging
  • Tools for monitoring performance on Cursor MCP Server
    Debugging parallel code issues
  • Best Practices and Optimization
  • Tips for optimizing parallel code execution
    Common pitfalls and how to avoid them
  • Final Project Presentation
  • Developing a parallel coding project using Claude Code and Cursor MCP Server
    Presenting and discussing project outcomes with peers
  • Course Conclusion and Future Directions
  • Recap of key learning points
    Exploring future trends in parallel coding technologies

Subjects

Computer Science