search-first

Research existing libraries by running a structured need analysis and parallel search cycle to identify reusable solutions and constraints before writing custom code. This workflow evaluates options to minimize duplication and rework.

Evaluate dependencies by applying a systematic workflow that performs need analysis, parallel search with a researcher agent, and decision steps aligned with MCPs. This identifies constraints and selects the best reusable solutions for unfamiliar domains.

Tool discovery works by executing parallel search with a researcher agent to identify existing tools, libraries, and patterns across languages and frameworks. The workflow evaluates these options against your constraints to inform implementation decisions.

Yes, you can use this research workflow across different languages and frameworks. It applies a structured need analysis and parallel search cycle to identify reusable solutions and select the best fit regardless of your specific tech stack.

The workflow incorporates decision and implementation steps aligned with MCPs to select reusable solutions and minimize custom code. MCPs are part of the structured research cycle for evaluating dependencies and unfamiliar domains.

Search for code reuse options when starting a new feature, adding a dependency, or evaluating unfamiliar domains. Running a structured research cycle before implementation identifies existing solutions to avoid reinventing and reduce rework.