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Enterprise AI prototypes can create an impressive result quickly. A small team can connect a model to a limited dataset, develop a functional interface, and demonstrate how the system might summarize documents, classify information, answer internal questions, or recommend the next step in a workflow. That demonstration proves the concept is possible. It does not prove that th...


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A developer receives a short ticket asking for role-based access controls, enters it into an AI coding assistant, and has working middleware within an hour. The code compiles, the basic tests pass, and the pull request appears ready. Weeks later, the team discovers that no one defines how read-only users, administrators, inherited permissions, or emergency access should work....


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AI can help teams write code faster. But it can also help them ship bad code faster. That's the challenge DevOps leaders now have to manage. As AI coding assistants and agents become part of the software delivery process, it's very tempting to measure progress by activity. Teams will want to measure the lines of code generated, tickets closed, and prompts submitted. But activ...


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