Empirical look at agentic AI across the full SDLC

"Agentic AI in the Software Development Lifecycle: Architecture, Empirical Evidence, and the Reshaping of Software Engineering" surveys where autonomous agents are actually landing across planning, coding, testing, review, and ops — and where the empirical evidence supports real gains versus where it's still hype. A grounded read for engineering leaders deciding which lifecycle stages to instrument with agents first, rather than rolling them out everywhere at once.

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Sources: arXiv 2604.26275