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The ability to leverage AI to solve tough challenges like legacy app modernization is poised to become a key differentiator for businesses .
required extensive regression testing and that could prevent successful upgrades in cases where custom code turned out to be incompatible .
By decoupling custom code from applications , the Clean Core initiative aims to make it easier for businesses to keep their core SAP environments consistent and standardized – and , by extension , to help to migrate them to the cloud , where compatibility with standardized environments is critical .
Custom application features will still be available , but through API-integrated microservices hosted on the SAP Business Technology Platform ( BTP ), which is separate from the SAP " core ."
For businesses with complex SAP estates , the value of adopting a Clean Core approach is clear enough because it makes upgrades and cloud migration much simpler .
What ' s much harder for most companies , however , is actually breaking custom code out of their SAP apps and turning it into microservices , due to the sheer volume of code at stake . Many of the businesses I work with have tens of thousands – and in some cases hundreds of thousands – of lines of custom code within their legacy apps . Refactoring all of that code manually would require thousands of days of work by skilled developers . That ' s simply beyond the realm of feasibility for businesses whose development teams are already overstretched .
That ' s why my team has turned to AI to help companies make the transition to Clean Core . Using gen AI tools , we are prototyping a solution that analyzes legacy apps to identify custom code within them . From there , it produces a specification document that describes
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