spike

You validate feasibility through rapid, disposable prototyping and comparative experimentation. This skill decomposes requirements into testable, observable units with clear success criteria to mitigate risk before full-scale development.

A spike is a rapid, disposable experiment to validate technical feasibility during early-stage research. You need one to evaluate libraries, mitigate complex feature implementation risks, or run head-to-head comparison analysis before choosing an approach.

The best way to compare libraries is running head-to-head experiments via minimal prototypes. This skill provides a structured framework to build disposable tests, confirming whether options like a new websocket integration meet specific project requirements.

You test websocket latency by building a minimal prototype to measure streaming performance. This skill enables rapid prototyping to confirm if the technical approach is viable and satisfies your specific project requirements before integration.

Yes, this approach applies directly to early-stage research and MVP development. It validates technical feasibility through rapid, disposable prototyping, systematically decomposing requirements into testable units to ensure your MVP is built on a viable foundation.

You should avoid disposable prototypes when requirements cannot be systematically decomposed into testable, observable units with clear success criteria. Without these structured success metrics, rapid prototyping cannot accurately validate technical feasibility or mitigate implementation risk.