spike

Spike prototyping decomposes requirements into testable hypotheses to validate technical feasibility through isolated, disposable code experiments. It allows you to observe outcomes and determine viability before committing to a full-scale implementation.

Comparison testing runs multiple approaches side-by-side through isolated, disposable code experiments to identify the best implementation strategy. It allows you to observe outcomes for each prototype and select the optimal tool or library for your specific task.

Disposable prototypes are needed during early-stage research and architectural decision-making when facing high-risk technical hurdles. They mitigate risk by allowing you to rapidly test feasibility and compare approaches before integrating new tools into your main codebase.

Yes, spike experiments test if integrating a new library is viable by creating isolated, disposable prototypes. For example, you can explore whether integrating a new websocket library is feasible for real-time streaming requirements through a small, isolated code experiment.

Systematic high-risk feature prototyping requires decomposing requirements into testable hypotheses with observable outcomes. By building isolated, disposable code experiments early in the development lifecycle, you can address technical hurdles before they impact the final implementation.