search-first

To find existing libraries before coding, use a structured workflow with need analysis, parallel search, evaluate, and decide stages. This enforces systematic discovery of ready-made solutions to reduce duplication and accelerate delivery.

Evaluating npm and PyPI packages for code reuse requires a decision framework that queries these registries alongside GitHub and internal references. It compares options against evaluation criteria to determine whether to adopt, extend, or build anew.

Tool discovery works by executing parallel searches across package managers and repositories to surface existing tools. It then applies a decision matrix to systematically evaluate the found patterns based on your specific feature needs.

Yes, you can use this research workflow for any language, as it explicitly queries npm, PyPI, GitHub, and internal references. The evaluation stages apply broadly across feature development, tool selection, and library evaluation contexts.

You should build a custom solution instead of reusing existing tools when the decision matrix evaluation criteria determine that available packages do not meet your specific needs. The workflow guides you to adopt, extend, or build anew based on these results.