search-first

To research existing open-source solutions before coding, perform a structured need analysis and run parallel searches across npm, PyPI, and GitHub to surface reusable options. This prevents duplicating effort by identifying prior art before implementation begins.

The best way to evaluate dependencies is using a structured decision framework that scores candidates and determines whether to adopt, extend, or build. This ensures clear adoption criteria are applied to each evaluated open-source integration.

A parallel search workflow queries multiple channels like npm, PyPI, GitHub, and internal references simultaneously. It surfaces reusable code components by aggregating results, allowing you to evaluate multiple open-source dependencies concurrently.

You should consider reusing existing solutions when starting a new feature, evaluating dependencies, or considering integrations across codebases. Applying structured need analysis first ensures you identify prior art and avoid duplicating effort.

To decide whether to adopt, extend, or build a software dependency, use a decision matrix with clear adoption criteria. This evaluation framework scores candidates discovered during parallel searches to determine the best implementation approach.