search-first

Evaluating existing tools before coding requires a structured research pass across package repositories and internal codebases to identify reusable solutions. This approach systematizes feature work and tool evaluation, documenting findings with clear recommendations to guide implementation decisions.

Researching existing libraries involves identifying your feature goal, then performing a structured search across npm, PyPI, GitHub, and internal tools. You evaluate candidates across functionality, maintainability, documentation, and licensing to reduce code duplication and accelerate delivery.

Searching for existing software engineering solutions avoids reinventing the wheel by reducing code duplication and accelerating delivery. Applying structured research to feature work and tool integrations ensures you reuse established patterns before committing to custom implementation.

Yes, you can apply structured research to adding dependencies and tool integrations across projects. The process guides you to evaluate candidate libraries and internal tools, documenting top options with justifications to ensure you select maintainable and functional solutions.

When evaluating tools to avoid reinventing the wheel, use criteria covering functionality, maintainability, documentation, and licensing. This structured evaluation ensures you select existing solutions that support your feature goals without creating unnecessary custom code.