Project Detection

Project Detection identifies frameworks, primary language, and build tools by analyzing your codebase structure and configuration files. It runs mechanical detection scripts across Node.js, Python, Java, Rust, Go, PHP, Ruby, and other stacks, then outputs standardized JSON mapping your project's type, framework, language, and dependencies.

Yes. Project Detection accelerates onboarding by automatically mapping framework, language, directory structure, and tooling without manual inspection. This works across 20+ frameworks and generates a `.claude/project.json` file summarizing the complete tech stack for quick reference.

Project Detection generates a `.claude/project.json` configuration file containing project type, framework, primary language, version, directory structure mappings, detected tools, and dependencies. Output includes explicit exit codes and human-readable status for downstream automation and AI agent integration.

Yes. Project Detection is framework-agnostic and applies mechanical analysis to Node.js, Python, Rust, Go, Java, PHP, Ruby, and other stacks. It identifies language-specific frameworks, build tools, linters, formatters, and dependency patterns in a single pass.

Automated detection is faster and standardized. Manual review is time-consuming and inconsistent; Project Detection provides mechanical, repeatable analysis that generates machine-readable JSON suitable for automated tooling, project initialization, and dependency evaluation without human interpretation.

Project Detection includes patterns for 20+ frameworks covering common stacks. For unlisted frameworks, the tool falls back to mechanical detection of language, primary build tools, and directory structure. The extensible pattern library can be expanded for additional frameworks.