AI coding assistants produce inconsistent results because output quality depends on who is prompting and how well they articulate team standards. The solution is to treat AI instructions as versioned, shared infrastructure — similar to linting rules or CI pipelines — that encode tacit senior knowledge into executable form. This
Table of contents
The Consistency ProblemExecutable GovernanceWhat This Looks LikeSurfacing the tacit knowledge.Where Standards Meet the WorkflowStandards as Shared InfrastructureCalibrationConclusionSort: