How Siemens “sliced the elephant,” modernizing legacy code with agentic workflows
For technology companies like Siemens, software is the nervous system of factories, energy grids, and transportation networks worldwide.
As a global leader in industrial AI, industrial software, and industrial automation, Siemens brings decades of domain expertise across factory and process automation, energy infrastructure, and intelligent transportation — expertise that no off-the-shelf AI solution can replicate. But innovation carries a heavy anchor: legacy code.
With codebases spanning hundreds of millions of lines developed for over more than a decade, Siemens faced a challenge that standard AI tools couldn't solve: understanding and modernizing this code and the applications which run on it. The scale and depth of industrial-grade software demand a fundamentally different approach. Existing coding assistants lacked the contextual depth required to navigate complex, multi-layered industrial codebases — a gap Siemens set out to close.
To solve this, Siemens and Google Cloud created Knowledge Fabric, an AI system for automating...
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