spike

A spike validates uncertain software ideas through disposable experiments before committing to full implementation. It tests feasibility, uncovers technical risks, and documents evidence-based verdicts to prevent costly production mistakes.

To validate an architecture idea before building it, decompose the concept into a focused spike, research the technical requirements, build a standalone prototype, and document an evidence-based verdict. This approach uncovers risks early without full implementation overhead.

Comparing competing technical approaches for an MVP is best done by structuring parallel spikes. This method evaluates tradeoffs between disposable prototypes side-by-side, allowing you to select the best direction based on documented evidence rather than assumptions.

You should use a proof-of-concept prototype instead of starting production development when facing uncertain technical feasibility, unfamiliar integrations, or new architecture concepts. Spikes prevent costly implementation mistakes by testing ideas and uncovering risks before a full build commitment.

Yes, this approach supports evaluating new integrations and websocket streaming architectures. The validation workflow guides you through decomposition, focused research, standalone prototyping, and testing to determine feasibility before starting production implementation.