dx-toolkit

dx-toolkit provides quantitative DX assessments by analyzing code structure, API surfaces, and documentation signals. It targets software teams seeking to reduce onboarding time, improve API learnability, and align engineering practices across services. The tool is designed to be non-invasive, ingesting static artifacts and design metadata rather than executing builds.
Conceptually, it parses language constructs with language-specific analyzers, constructs dependency graphs, and evaluates documentation coverage, sample completeness, and consistency. It then computes a DX risk score and surfaces prioritized actions. Results are compatible with CI pipelines and reporting dashboards for traceability.
Benefits include objective visibility into API usability, actionable guidance for developers, and measurable improvements to developer throughput. Unique differentiators include pluggable adapters for custom linters, historical delta analysis, and exportable outputs suitable for issue trackers, docs pipelines, and design reviews.
Core features and use cases include static analysis rules for code quality, API surface metrics to quantify exposure, dependency graphs to reveal coupling, documentation quality checks to improve learnability, and multi-repo support for coordinated DX programs. This combination enables faster, evidence-based DX improvements.