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 →
Fetch Data from Data Lake- Microservices Data Architecture
This research article discusses the challenges and solutions related to optimizing a microservice designed to fetch data from a Data Lake. The microservice runs complex SQL queries that interact with numerous tables, some containing billions of records, which currently take 50 to-300 seconds to execute. This execution time is problematic because the API that utilizes... Continue Reading →

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