Generative AI is transitioning from passive assistants (Copilots) to autonomous agents capable of making decisions and executing tasks across the software development lifecycle. This shift introduces the concept of agentic engineering, where developers become orchestrators of AI agents that handle coding, testing, deployment, and monitoring. While this promises significant speed improvements, it raises critical questions about governance, security, and accountability. Organizations need to establish a System of Record for AI agents to track actions, maintain audit trails, ensure compliance, and build trust infrastructure as autonomous systems become integral to software delivery.

5m read timeFrom datasciencecentral.com
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Table of contents
From informers to doersDefining the AI agent and agentic AIEnter the hybrid SDLC: Human–agent collaborationThe trust gap: Speed vs. security in the age of agentsThe solution: A system of record for AI

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