Аннотация
Modern software systems have undergone a radical transformation, moving away from the era of isolated monoliths into an age of globally distributed, latency-sensitive, and continuously evolving ecosystems. In these hyper-complex environments, traditional deterministic engineering practices—which rely on absolute certainty and manual validation—are no longer sufficient to ensure long-term reliability or massive scalability. The primary constraint in the modern era is no longer merely developer productivity in terms of lines of code, but rather the human cognitive capacity to anticipate, map, and manage systemic complexity.
This paper presents an extensive, data-driven framework for integrating artificial intelligence across the entire software development life cycle (SDLC).
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