stack-detection

To identify the technology stack of a repository, analyze configuration and manifest files like package.json, tsconfig.json, and Dockerfile. This detects languages, frameworks, runtimes, package managers, bundlers, and deployment signals without reading source code.

Yes, you can detect a project's framework and runtime by reading configuration files. Analyzing manifests like package.json and tsconfig.json provides evidence-based identification of languages, frameworks, and deployment indicators without needing to parse source code.

The best way to profile a repository's tech stack without source code is analyzing configuration and manifest files. This approach detects languages, runtimes, bundlers, package managers, and cloud deployment signals to generate a structured overview like STACK_PROFILE.md.

You generate a stack profile for a new software project by analyzing its manifest and configuration files. Detecting signals from files like Dockerfile and cloud provider configurations produces a structured overview of the project's technology landscape.

Yes, stack detection works by analyzing cloud provider configurations and Dockerfiles. Reading these specific manifest files identifies deployment indicators, runtimes, and frameworks, providing an accurate, evidence-based overview of the repository's technology stack.

Manifest files like package.json and tsconfig.json are needed to detect a repository's package manager and bundler. Analyzing these configuration files accurately identifies the technology stack, including languages, frameworks, and deployment signals.