Framework Detector

To automatically detect a project framework, analyze dependencies, essential files, import statements, and config files using a multi-signal approach that scores confidence for each candidate. This returns a primary framework with a confidence score and optional alternates for multi-framework scenarios.

Multi-signal framework detection works by inspecting dependencies, key files, imports, and config files across ecosystems like Elixir, Node.js, and .NET. It aggregates these signals to calculate a confidence score, identifying the primary framework and alternates robustly even with missing files.

Yes, you can detect multiple frameworks in a single project. The multi-signal analysis returns a primary framework with a confidence score alongside optional alternates, handling multi-framework scenarios by evaluating dependencies and config files across different ecosystems.

When framework detection runs on an unsupported project or encounters missing files, it ensures robust handling through clear error handling and validation. This prevents failures by properly managing edge cases and returning explicit validation errors.

Confidence scoring identifies project frameworks by evaluating multiple signals like dependencies and import statements, returning a primary framework and alternates. This approach reduces ambiguity in multi-framework scenarios and ensures accurate routing to the correct framework stack.