Navigating the software development lifecycle with Agentic AI

Artificial intelligence is redefining how software is designed and delivered. In Part 2 of our Agentic AI series, explore how development teams are moving beyond traditional automation to intelligent agents that collaborate, learn, and adapt across the software lifecycle.

With the rise of Agentic AI, development teams are moving from using isolated automation tools to adopting intelligent, goal-driven agents that collaborate, learn, and enhance performance across every stage of the software lifecycle. 

This article examines what it takes to integrate Agentic AI effectively, exploring the technical limits, governance models and talent strategies that make automation scalable and secure. It offers practical guidance for leaders ready to move from experimentation to enterprise adoption.