micro-poc-validator

You can validate technical assumptions by running minimal, time-boxed code experiments that provide empirical evidence instead of desk research. This approach executes small, focused code spikes to test specific claims and produces clear PASS, FAIL, or PARTIAL results.

The best way to test if a library performs a specific function is writing a minimal 10-line script to empirically prove or disprove the claim. This prevents costly architectural mistakes by verifying feasibility through a focused code spike with binary outcomes.

To run a code experiment safely, you must perform pre-flight checks for dependencies and safety constraints before execution. The process requires clear assertion decomposition and minimal script design to ensure the time-boxed spike yields traceable evidence.

You need empirical testing for a feasibility report when you face technical uncertainties about specific claims. Running focused code experiments provides traceable evidence and binary outcomes to resolve these uncertainties before committing to architectural decisions.

Proof of concept validation requires minimal script design rather than complex implementations. It focuses on executing small, focused code spikes within strict time constraints to produce traceable evidence and clear binary outcomes for technical assumptions.

Limitations of using code spikes include strict time constraints and the need for clear assertion decomposition before execution. You should not use them for full implementation, as they only provide empirical validation through minimal scripts and pre-flight safety checks.