moai-alfred-language-detection

Language and framework detection analyzes configuration files like package.json and pyproject.toml to identify your tech stack automatically. This eliminates manual inspection and provides accurate results across diverse projects for immediate development tool configuration.

Detection reads standard configuration files including package.json for Node.js projects and pyproject.toml for Python projects. These files reveal language, framework, and dependency information needed to configure optimal development tools automatically.

Yes, language detection integrates with Alfred workflows for code analysis, code reviews, feature design, and troubleshooting. It provides a reliable foundation for downstream tasks requiring accurate project context across different technology stacks.

Detection outputs a test and lint plan with quality gates and migration guidance. Results enforce development best practices and integrate with moai-foundation-langs and moai-foundation-trust for comprehensive project analysis and standardization.

Language detection identifies primary languages and frameworks from configuration files, making it applicable across diverse projects. It handles multi-language codebases by reading all relevant configuration formats present in the project directory.