AI Alone Won’t Fix Your Legacy System Migration Strategy

AI can understand code, generate code, analyse the dependencies, and even automate testing. But a successful legacy migration still needs to be analysed by a human; no model alone can handle it.

A legacy application can span a very large codebase, years or decades of changes, and undocumented dependencies. It may have databases that nobody wants to touch and integrations that work only because someone has kept them alive for years.

This much data and code is difficult for a human to read. A human team cannot realistically review a large amount of code at the speed AI can. AI can process and classify large volumes of code far faster than a human team can review file by file, particularly when repository indexing and automated code-analysis tools are used. AI is highly useful in this, but this is where the real migration problem begins.

AI analyses legacy systems; human experts...

Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE