konveyor/kai

Kai is an AI-enabled tool for modernizing application source code to new platforms via generative AI guided by static code analysis.

The tool addresses the challenge of migrating legacy applications by combining large language models with static code analysis and data from Konveyor to understand both the codebase structure and migration requirements. It uses this analysis to guide the AI in generating accurate, context-aware transformations rather than relying on the model alone. The approach integrates into developer workflows through an IDE extension, allowing engineers to receive migration suggestions directly in their editor while working on code.

Kai suits teams undertaking application modernization efforts who want AI assistance grounded in actual code analysis rather than generic suggestions. The tool is designed for end users installing the IDE extension, with backend components and documentation provided in this repository. Developers contributing to the project will find a Python-based backend with modular components including an MCP solution server for storing migration examples and a Go-based analyzer RPC plugin that serves code analysis to the IDE extension.

The project maintains active engagement with the broader community through conference talks and blog posts documenting both technical deep dives and practical application scenarios. Development follows a structured contribution process with documented coding standards and pull request guidelines. The codebase is organized into self-contained components with their own dependency management, allowing independent development and testing of different parts of the system.