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BotMan AI addresses the critical bottleneck of legacy modernization by leveraging knowledge graphs to provide agents with deep contextual understanding of complex business logic and data dependencies. This approach allows for autonomous re-architecting of outdated systems rather than simple code translation, effectively solving the "context" problem where intelligence alone is insufficient. By mapping relationships between components, rules, and data models upfront, the system enables AI agents to interpret and rebuild applications with minimal human explanation.

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BotMan AI uses knowledge graphs for legacy modernization

SiliconANGLE12 octombrie 20264 min de cititArticolul și perspectiva sunt în engleză.

Legacy modernization requires understanding how an application’s code, data and business rules fit together before rebuilding it. BotMan AI uses an AI-powered migration pipeline that maps an application’s dependencies, business logic and data models in a knowledge graph. That context helps agents interpret the system they are rebuilding, according to Alejandro D’Andrea (pictured), founder and […] The post BotMan AI uses knowledge graphs for legacy modernization appeared first on SiliconANGLE.

Legacy modernization requires understanding how an application’s code, data and business rules fit together before rebuilding it. BotMan AI uses an AI-powered migration pipeline that maps an application’s dependencies, business logic and data models in a knowledge graph. That context helps agents interpret the system they are rebuilding, according to Alejandro D’Andrea (pictured), founder and chief technology officer of BotMan. “Intelligence is not the problem…

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