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Ai-Spark

Createdvgiri2015

Optimizes Apache Spark code using AI-powered analysis and suggests performance enhancements.

Github Repo

About

Ai-Spark provides a Model Context Protocol (MCP) server and client designed to intelligently optimize Apache Spark code. Through a client-server architecture, it offers code optimization suggestions and performance analysis by leveraging Claude AI for in-depth code evaluation, suggesting improvements like caching, optimized joins, and efficient memory management. The system aims to streamline the optimization process, providing validated, context-aware improvements to enhance Spark application performance.

Key Features

  • 0 GitHub stars
  • Leverages Claude AI for intelligent PySpark code optimization.
  • Provides detailed performance analysis comparing original and optimized code.
  • Offers a simple client interface for submitting code optimization requests.
  • Implements Model Context Protocol (MCP) for standardized AI interactions.
  • Generates optimized code in separate files with detailed comments.

Use Cases

  • Optimize existing Spark applications for improved performance.
  • Identify and resolve performance bottlenecks in Spark code.
  • Automate the process of code optimization using AI assistance.