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Redis and AI Agent Memory by Andrew Brookins

A key challenge with designing AI agents is that large language models are stateless and have limited context windows. This requires careful engineering to maintain continuity and reliability across sequential LLM interactions. To perform well, agents need fast systems for storing and retrieving short-term conversations, summaries, and long-term facts. Redis is an open‑source, in‑memory data

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Exploring Contemporary Data Visualization with Robert Kosara

Data visualization is increasingly important as organizations prioritize data-driven decision-making. Tools that transform complex datasets into intuitive, interpretable visualizations are arguably just as critical as the data itself. Robert Kosara is a Data Visualization Developer at Observable which is a platform for creating interactive data visualizations, and which makes extensive use of the popular D3

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Shinji Kim on Context-Aware SQL and Metadata

A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks. Select Star is a

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Discovering Angular with Jessica Janiuk

Modern web development faces several challenges, particularly when building scalable, maintainable, and high-performance applications. As applications grow, managing complex user interfaces, and ensuring efficient data handling and modular code structures, becomes increasingly difficult. Angular is a TypeScript-based web framework developed by Google. It’s component-driven and designed for building single-page applications with a strong emphasis on

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SurrealDB 3.0 and Crafting Event-Driven AI Applications with Tobie Morgan Hitchcock

Modern application development often involves juggling multiple types of databases to handle diverse data models. The lack of unification can lead to complex architectures with attendant security concerns and fragmented development workflows. SurrealDB is an open-source, multi-model database developed in Rust and integrates functionalities of many databases including relational, document, graph, time series, search and

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Reimagining GraphQL Frontends with Robert Balicki

A challenge in modern frontend application design is efficiently fetching and managing GraphQL data while keeping UI components responsive and maintainable. Developers often face issues like over-fetching, under-fetching, and handling complex query dependencies, which can lead to performance bottlenecks and increased development effort. Relay is a JavaScript framework developed by Meta for managing GraphQL data

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