static-inference-expert-claude

To extract microservices from a monolithic Java or .NET project, this Skill automates component analysis, evaluates dependencies, and suggests viable microservice architectures using the static-inference MCP server and a specified analyzer JAR file.

Analyzing project dependencies before restructuring into microservices involves evaluating each component and its relationships within your codebase. This Skill uses static-inference to automate this architecture evaluation and propose microservice boundaries.

Yes, analyzing a Java project requires the java-dependency-extractor.jar file. You must provide the project path and this analyzer JAR file to execute the static-inference dependency analysis and architecture evaluation.

Yes, you can use this microservice extraction approach with both Java and .NET applications. It relies on the java-dependency-extractor.jar and the dotnet-analyzer to evaluate components and suggest architectures across both platforms.

Static inference evaluates existing code for microservice architecture by automating the analysis of project components and their dependencies. It uses the static-inference MCP server to process the codebase without runtime execution, proposing viable microservice boundaries.

A key limitation of using static inference for project analysis is its reliance on static code structures rather than runtime behavior. It requires specific analyzer JAR files and a valid project path, meaning dynamic dependencies might not be fully captured.