search-first

To find existing Salesforce libraries before writing custom Apex code, run a parallel discovery workflow that searches npm, AppExchange, GitHub, and MCP servers. The search evaluates functionality fit, maintenance activity, documentation quality, license compatibility, and dependency surface to recommend whether you should adopt, extend, compose, or build a solution.

The best way to compare AppExchange apps and npm packages for a new feature is to use a structured evaluation system that scores candidates by functionality, maintenance, license, documentation, and dependency impact. This comparison provides decision guidance on whether to adopt, extend, compose, or build, along with minimal installation or prototyping next steps.

Yes, you can research existing MCP servers and GitHub implementations for Salesforce architecture design. The systematized research process gathers candidate implementations across these platforms and local Claude Code skills, producing structured comparisons that inform your design and decision-making workflows before you start coding.

To evaluate the maintenance and documentation quality of discovered Salesforce tools, apply a structured scoring system during your package discovery process. The evaluation specifically scores candidates by their maintenance activity, documentation quality, license compatibility, and dependency surface area to guide your architecture decisions.

Yes, the package discovery workflow provides installation steps after recommending a solution. Once the structured evaluation scores candidates and recommends whether to adopt, extend, compose, or build, it delivers minimal next steps for installation or prototyping the chosen Salesforce solution.

You should avoid using existing AppExchange apps and build custom code instead when the structured evaluation reveals poor maintenance activity, incompatible licenses, inadequate documentation, or excessive dependency surface area. The decision guidance recommends building only when well-maintained existing solutions do not meet your functionality fit requirements.