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Konveyor AI (Kai) - AI Developer Tools Tool

Overview

Konveyor AI (Kai) simplifies application modernization by combining static code analysis with large language models to generate targeted code transformation suggestions. It is guided by Konveyor’s historical migration reports and continuously learns from past migrations to improve recommendations.

Key Features

  • Static code analysis to identify modernization targets
  • LLM-guided generation of code transformation suggestions
  • Guidance informed by Konveyor historical migration reports
  • Continuous learning from past migration outcomes
  • Focus on migrating applications to new platforms

Ideal Use Cases

  • Automating modernization recommendations for legacy applications
  • Generating targeted transformation suggestions for migration projects
  • Analyzing source code to identify platform-specific changes
  • Documenting recommended code changes for migration plans

Getting Started

  • Clone the Konveyor Kai repository from https://github.com/feiskyer/konveyor-kai
  • Install required dependencies following the repository README
  • Provide the source code or point Kai at the target repository
  • Supply Konveyor migration reports or historical migration data if available
  • Run static analysis and generate transformation suggestions
  • Review, validate, and test suggested code transformations
  • Feed migration outcomes back to Kai to improve recommendations

Pricing

Pricing not disclosed

Limitations

  • Effectiveness depends on availability and quality of historical migration reports
  • Static analysis may not capture runtime or dynamic application behavior
  • Generated suggestions should be validated and tested before applying

Key Information

  • Category: Developer Tools
  • Type: AI Developer Tools Tool
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