This article introduces a series that examines "what happens after the proof of concept and how AI becomes part of the software delivery pipeline." The experience is important. "A consistent message emerges: sustainable AI development depends on the same fundamentals that underpin good software engineering, clear abstractions, observability, version control, and iterative validation. The difference now is that part of the system learns while it runs, which raises the bar for context design, evaluation pipelines, and human accountability." You can read the full series in a 60 page PDF download.
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