Developer Advocates Stress-Testing Assumptions Before Writing Any Code

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A software developer argues that AI tools make it dangerously easy to build extensively on unvalidated ideas, since code can be generated faster than the underlying assumptions are ever tested. His approach involves identifying the core claim hidden inside each decision and designing the cheapest possible experiment to disprove it before committing to a full build. He shares examples from two personal projects where early testing either exposed an incompatible system environment or revealed that a promising retrieval technique failed to outperform an existing one, saving significant rework in both cases. He also stresses defining clear, written success criteria before running any experiment, arguing this prevents developers from reinterpreting weak results as encouraging. The broader point is that as AI lowers the cost of implementation, it equally lowers the cost of building the wrong thing — making disciplined idea-killing more valuable, not less.

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