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Build streaming applications on Amazon Managed Service for Apache Flink with AI-assisted guidance

Big Data Blog



This article introduces AI-assisted guidance tools for building Apache Flink streaming applications on AWS Managed Service for Apache Flink through Kiro Power and Agent Skills.

  • Kiro Power and Agent Skills provide AI-guided development for Flink applications across multiple IDEs
  • Guidance covers architecture, state management, connectors, performance optimization, and best practices
  • Compatible with Kiro IDE, Cursor, Claude Code, and other Agent Skills-compatible tools
  • Helps identify performance bottlenecks, reliability risks, and compatibility issues in existing code
  • Supports Flink 1.x to 2.2 migration with automated compatibility detection and refactoring guidance
  • Includes example: building Kinesis-to-Kinesis streaming pipeline with windowed aggregations
  • Provides step-by-step deployment guidance using CloudFormation and infrastructure-as-code
  • Installation available per-project or globally across projects via GitHub repository

The tool streamlines Flink development by catching production issues during development, automating best practices, and simplifying complex migration tasks with AI assistance.



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