BotMan AI uses knowledge graphs for legacy code modernization
SiliconANGLE: BotMan AI uses knowledge graphs for legacy modernization
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 SiliconANG
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Legacy modernization requires understanding how an application's code, data, and business rules fit together before rebuilding it. BotMan AI addresses this challenge by using knowledge graphs to map an application's dependencies, business logic, and data models, allowing AI agents to understand the system they are rebuilding. Beyond code migration, knowledge graphs can provide reusable context for AI agents by mapping relationships between information, which reduces the discovery work needed for subsequent queries. By linking unstructured information through entities like people, projects, or products, agents can automatically recognize which information is relevant to a task.
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