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To find existing libraries before writing custom code, search npm, PyPI, and GitHub for well-maintained tools that match your feature requirements. Evaluate candidates by functionality, maintenance, documentation, license, and dependencies to decide whether to adopt, extend, compose, or build.

The best way to compare npm packages for a new feature is to evaluate candidates by fit, maintenance, community support, documentation, licensing, and dependency impact. This structured evaluation helps decide whether to adopt, extend, compose, or build a custom solution.

To discover reusable MCP servers and implementation patterns, search across GitHub and web sources for existing tools that solve your integration problem cleanly. Compare candidates by functionality, maintenance, and licensing to avoid reinventing existing solutions.

You should extend an existing library instead of building custom when a well-maintained package matches your task but requires minor modifications. Evaluate the dependency impact, documentation, and licensing to decide whether to adopt, extend, compose, or build.

To evaluate Python PyPI dependencies for integration design, compare candidates by fit, maintenance, community support, documentation, license, and dependency impact. This structured evaluation determines whether to adopt, extend, compose, or build custom code.