Context Rot in LLMs: Why Graphs Are the Promising Fix for Coding Agents?

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Large Language Models (LLMs) are the backbone of modern AI coding agents, powering tools that write, debug, and refactor code. The dream is to feed these models entire codebases or vast chat histories, letting them reason over everything at once. But a critical issue, dubbed “context rot,” undermines this approach. Based on insights from Chroma... Continue Reading →

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A Deep Dive into Generative AI and ETL Testing

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This article explores the complexities of ETL testing with Apache NiFi and the nuances of Generative AI (Gen AI) testing. Focusing on NiFi's capabilities for robust data handling and its transition to Kubernetes. It also delves into Gen AI testing challenges for models like GPT, emphasizing the need for advanced methodologies to ensure accuracy, consistency,... Continue Reading →

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