New Open-Source Library Enables Type-Safe Biometric Authentication for React Native

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A developer has created react-native-nitro-biometrics, an open-source library for React Native applications. The library provides biometric authentication functionality, supporting methods like Face ID, Touch ID, and fingerprint recognition. It is built using Nitro Modules, a modern approach for creating native modules with React Native's New Architecture. The library offers a simple TypeScript API while handling platform-specific authentication behavior on iOS and Android. It allows developers to implement secure authentication flows with minimal setup.

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Dify Emerges as Leading Open-Source Platform for Production AI Workflows in 2026

In 2026, the open-source project Dify has become a prominent platform for building production-ready AI applications. It provides a unified alternative to piecing together multiple tools or using costly SaaS solutions by combining visual workflow creation, RAG pipelines, and agent capabilities. The platform's core promise is enabling teams to move from prototype to production without rebuilding their technical stack, using a modular, component-based architecture. Dify's Workflow Studio allows logic to be defined through drag-and-drop interfaces, simplifying testing and deployment. With over 157,000 GitHub stars and rapid growth, the project is supported by a large community of contributors.

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ProgrammingDEV Community ·

Apache Spark Handles Data Larger Than RAM With Distributed Processing

Apache Spark is a distributed data processing engine designed for workloads where single-server RAM becomes a bottleneck. It was developed at Berkeley's AMPLab to overcome Hadoop MapReduce limitations by processing data in memory, making it significantly faster for iterative tasks like machine learning. The core concept is the Resilient Distributed Dataset (RDD), an immutable collection partitioned across cluster nodes that can rebuild itself if a node fails. Spark Structured Streaming provides micro-batch processing with stateful exactly-once semantics for real-time data. The same code can run identically on a local machine or a large cloud cluster, with Spark managing distribution and fault tolerance.

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ProgrammingDEV Community ·

New Brazilian health guidance tool uses rules engine, not AI, to direct patients.

A developer has created Movimenta Saúde, a public health guidance project for Brazil. The system helps citizens determine whether their condition requires a primary care clinic (UBS), an emergency care unit (UPA), or an emergency call (192), then shows the nearest public facility. It uses a large language model only to structure a user's free-text symptoms, while a deterministic rules engine, citing official health protocols, makes the clinical destination decision. The project is currently a pilot running with data from five municipalities in the Rio de Janeiro metropolitan area.

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ProgrammingDEV Community ·

Apache Spark: Distributed data processing engine for large-scale workloads

Apache Spark is a distributed data processing engine originally written in Scala. It was developed at UC Berkeley's AMPLab to address the limitations of Hadoop MapReduce. The engine processes data in memory, making it significantly faster for iterative workloads like machine learning. Its core abstraction is the Resilient Distributed Dataset (RDD), which provides fault tolerance. Spark allows the same code to run on a single machine or scale across a large cluster.

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