Denys Linkov examines whether a team was right to spend six months replacing a complicated, multi-repository AI pipeline rather than wait for coding agents to improve. The case frames technical debtTechnical debt is the future maintenance cost or constraint created by software choices that make current work easier while leaving problems to resolve later. as a business tradeoff: faster delivery matters only if complexity, maintainability, reliability, and customer value remain under control.
An early coding-agent attempt completed quickly but made ten major mistakes and required substantial manual intervention. Repeating the same task with newer modelsA benchmark is a defined test or collection of tasks used to compare a system's performance under specified conditions. reduced the number of iterations and human effort, while a separate zero-shot refactorRefactoring changes the internal structure of software while preserving its intended externally observable behavior. still produced only scaffolding and failed to implement essential components. The contrast shows why apparent completion is not the same as verified successAgent completion verification checks evidence that an agent achieved the requested outcome rather than merely producing intermediate work..
The rebuilt monorepo reached parity in six months, broadened developer participation, reduced pipeline time and cost, handled larger files, and shortened some feature work from months to under a week. The decision lesson is not to refactor every system immediately, but to evaluate current business value, use high reliability thresholds, preserve human review, and verify requirements, builds, behavior, and hidden assumptions.
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