Redefining Completion in Modern Software Engineering

Many organisations now operate with multiple software development models. One model follows a traditional engineering structure focused on stability, formal validation, and controlled releases. Another model uses AI-native workflows integrated into development environments, where generative systems assist or even lead coding tasks. Both models use the term done to describe completion, but the meaning varies significantly. The difference arises from when uncertainty is absorbed, how confidence is established, and how evidence of correctness is produced. This variation is not a matter of opinion, but a structural difference in how software is developed and validated.

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