AWS Agentic AI for App Portfolio Modernization

Source: DZone DevOps

Agentic AI for Application Portfolio Modernization

Enterprises are accelerating their modernization journeys, driven by cloud mandates and growing demand for digital agility. Yet when faced with large application portfolios, transformation leaders often struggle to make decisions that are objective, data‑driven, and aligned with business outcomes. In the GenAI era, a new approach—Agentic AI for application portfolio modernization—promises to streamline assessment, planning, and execution by leveraging large language models (LLMs) as autonomous agents that can analyze code, recommend refactoring strategies, and even generate migration scripts. This paradigm shift enables organizations to move from manual, siloed assessments to continuous, AI‑augmented modernization pipelines, reducing risk, accelerating time‑to‑value, and ensuring that legacy workloads evolve in step with emerging cloud‑native architectures.