project-scanner

To inventory a codebase, scan for frontmatter markers like go.mod, package.json, and pyproject.toml to detect programming languages, frameworks, and databases. This generates a structured profile for onboarding, auditing, or migration planning.

Detecting project structure and CI/CD signals involves scanning repository paths for configuration files and docker-compose patterns. This approach recognizes common frameworks and layouts to assess project scale, generating actionable onboarding insights.

The codebase scanner works with Go, Python, and Node.js projects by relying on frontmatter markers such as go.mod, pyproject.toml, and package.json. It detects languages across multiple runtimes and ecosystems to generate a structured profile.

You can use project structure detection for modernization and risk assessment by analyzing structural patterns and dependencies. It identifies languages, frameworks, and databases, generating a profile that highlights architectural risks and modernization targets.

The codebase inventory tool relies on frontmatter markers like Cargo.toml, docker-compose patterns, go.mod, package.json, and pyproject.toml to recognize common frameworks, project layouts, and structural scale across different ecosystems.

You need to generate a structured codebase profile for migration tasks when assessing an unfamiliar repository. Detecting languages, frameworks, databases, and structural patterns provides the baseline data required to plan a modernization or migration strategy.