Why most enterprise AI coding pilots underperform (Hint: It's not t...
Interestingly, featuredwhy most enterprise ai coding pilots underperform (hint: it's not the model)dhyey mavani december 13, 2025 gen ai in software engineering has moved well beyond autocomplete In recent developments, the emerging frontier is agentic coding: ai systems capable of planning changes, executing them across multiple steps and iterating based on feedback Interestingly, yet despite the excitement around “ai agents that code,” most enterprise deployments underperform Interestingly, the limiting factor is no longer the model Interestingly, it’s context: the structure, history and intent surrounding the code being changed Interestingly, in other words, enterprises are now facing a systems design problem: they have not yet engineered the environment these agents operate in Interestingly, the shift from assistance to agencythe past year has seen a rapid evolution from assistive coding tools to agentic workflows Interestingly, research has begun to formalize what agentic behavior means in practice: the ability to reason across design, testing, execution and validation rather than generate isolated snippets
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