spike

To validate feasibility, you can run disposable experiments called spikes that decompose your idea into 2-5 questions, research approaches, build quick prototypes, and deliver a validated or invalidated verdict.

A spike is a throwaway experiment used to assess feasibility and explore unknowns when comparing technical approaches. You should use one to quickly validate ideas before committing resources to a full implementation.

You can compare technical approaches by running comparison spikes that research and build quick prototypes for each option. This process provides a clear verdict on which approach is validated or invalidated.

Yes, you need Python and its related libraries installed to run these disposable experiments. The environment requires Python scripting capabilities to research, prototype, and iterate on the feasibility spikes.

The best way to determine next steps is to use a frontier mode that suggests further exploration based on existing spikes. This mode analyzes your completed prototypes to recommend additional validation paths.

Throwaway prototypes are used to quickly validate ideas and explore unknowns without the overhead of production code. They provide a fast, clear verdict on feasibility, ensuring you only commit to a full build if the approach works.