library-detection

To detect a project's tech stack, you analyze package manifests and configuration files like package.json, pyproject.toml, go.mod, and Cargo.toml. This process identifies the languages, frameworks, and build systems used in a multi-language repository.

Identifying project frameworks and build systems requires scanning common manifests such as package.json, pyproject.toml, go.mod, Cargo.toml, pubspec.yaml, and CMakeLists.txt. These files contain the dependency and build definitions needed to map the repository's technology stack.

Yes, you can use package manifests to map a multi-language repository for onboarding. Analyzing manifests produces a structured stack summary that highlights detected frameworks, test tools, and dependencies, accelerating the onboarding and tool setup process.

The best way to find test tools and dependencies in a codebase is by analyzing package manifests and configuration files. This approach extracts framework and tool definitions directly from build system files to output a comprehensive technology summary.

Scanning pyproject.toml and go.mod detects specific languages like Python and Go, but for complete coverage across a multi-language repository, you must also check manifests like package.json, Cargo.toml, pubspec.yaml, and CMakeLists.txt.

Analyzing manifests rather than source code to discover a tech stack is faster and more structured. Configuration files explicitly declare frameworks, test tools, and build systems, providing a reliable summary for tooling configuration and documentation discovery without deep code parsing.