2026-11-04 · Fonte：InfoWorld
Enterprises are embedding AI across every phase of the software life cycle, repositioning developers as architects who oversee agentic workflows.
A growing cohort of enterprises has moved artificial intelligence from the margins of software engineering to its center, adopting an AI-first development strategy. Under this model, AI is woven into every phase of the software development life cycle rather than deployed selectively as a feature during the process. For a rising number of software development teams and organizations, the approach is becoming more necessary than optional.
In practice, AI-first development typically means embracing agentic workflows, with developers taking on the role of architects responsible for overseeing AI agents. The change runs deeper than tooling choices. It amounts to a transformation in how developers explore and understand code, with an emphasis on designing and producing a growing share of applications with AI in mind from the start.
The case for the shift is put starkly by Mona Rajhans, senior software engineering manager at cybersecurity products provider Palo Alto Networks, who leads a 14-person AI engineering team. AI-first development matters, she argues, because the alternative is increasingly untenable. Teams that use AI to build applications can accomplish far more in less time, widening the gap between adopters and those holding out.
Rajhans also frames AI-first as an architectural discipline, not merely a workflow change. Applications increasingly need to be designed with AI components and agentic users in mind rather than adapted afterward. Retrofitting AI onto an existing architecture, she warns, is like adding a second floor to a house with no load-bearing walls — it works only until it fails. For engineering leaders, the implication is that AI readiness has to be designed in from the ground up, not bolted on later.
Tags: Palo Alto Networks · Mona Rajhans · AI-First Development · Agentic Workflows · Software Development
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