Modernizing with AI: Using Intelligent Automation to Upgrade Legacy Code
What Is AI-Powered Application Modernization? AI-powered application modernization is the use of generative AI, intelligent automation, and agentic systems to accelerate and de- risk the process of upgrading legacy code. That's the dry definition. Here's the real one: it's everything that used to take a senior engineer six months of code archaeology, done in days, with the engineer redirected to the parts that actually require judgment. What it isn't : a magic rewrite button. Gartner's category for this — AI-Augmented Code Modernization Tools — is deliberately named augmented , not autonomous. The pattern that's working in production combines three layers: A deterministic layer that statically analyzes code, maps dependencies, and produces verifiable, traceable insights. This is what catches the things you can't afford to get wrong. A generative layer built on large language models tuned for code (IBM's 20-billion parameter Granite model...