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Medium

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Custom Exceptions in Java: The Hidden Power You’re Not Using

  • Custom exceptions in Java allow developers to define errors specific to their domain, improving code readability and debugging.
  • Creating custom exceptions in Java involves extending either Exception for checked exceptions or RuntimeException for unchecked exceptions.
  • Checked exceptions are ideal for recoverable errors, while unchecked exceptions are useful for programming errors that shouldn't be caught.
  • Custom exceptions help in providing meaningful context and specific error handling, making code more expressive and robust.

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Demystifying Java Streams: A Beginner-to-Intermediate Guide with Real-Life Tasks

  • A Stream in Java is a sequence of elements supporting functional-style operations, not a data structure.
  • Streams reduce boilerplate, encourage readable, functional code, and work beautifully with functional interfaces in java.util.function.
  • Stream operations consist of stages: data source, transformation without consumption, and terminal operation.
  • Java Streams empower developers to write shorter, cleaner, safer, and faster code through declarative thinking.

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Dev

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Single Responsibility Principle in Java

  • The Single Responsibility Principle (SRP) states that a class should have only one reason to change in Java.
  • A class violating SRP encapsulates multiple responsibilities which can lead to maintenance and testability issues.
  • Identifying separate responsibilities in a class and refactoring them into independent classes can improve maintainability and testability.
  • Applying SRP in Java helps in clean and robust code organization within classes, leading to easier changes and better understanding of code.

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Dev

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Building Better Interfaces: My Journey from "Functional" to Polished UI in Java Swing

  • Alireza Minagar, a software engineer, shares his journey of transitioning from focusing on functional aspects to creating polished UI in Java Swing while working on SecureFleet, a desktop vehicle monitoring tool.
  • Implemented features include a structured layout using BorderLayout, GridLayout, nested JPanels, a scrollable JTable with real-world vehicle tracking columns, a dedicated alert button, and functional buttons for tracking vehicles, adding entries, and accessing admin panel with clear color contrast and alignment.
  • Key takeaways include the importance of LayoutManagers for organizing components, grouping components into logical panels for alignment and code readability, and the manual refinement that sets interfaces apart.
  • The significance of well-designed interfaces in improving user experience, reducing errors, enhancing efficiency, and instilling user trust is highlighted. Future plans for SecureFleet include database connectivity, search filtering, authentication features, and cloud-syncing support.

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Dev

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Top AI Tools and Libraries for Java Developers in 2025

  • AI is transforming software development by offering tools and libraries for various applications, including machine learning and natural language processing, in the Java ecosystem.
  • Deeplearning4j is a powerful deep learning library on JVM, providing scalability and integration with big data frameworks like Hadoop and Apache Spark for solving complex problems.
  • Keploy is an API testing platform for creating test cases and data mocks from API calls, useful for testing AI models and ensuring consistent behavior.
  • Apache OpenNLP is a Java library for natural language processing, aiding in text analysis and classification tasks.
  • Weka is a popular machine learning and data mining tool for various tasks like data preprocessing, visualization, and API integration.
  • Spring AI simplifies AI application development in Java by offering tools for integrating AI functionalities like chat models and text-to-image generation with ease.
  • GitHub Copilot is an AI coding assistant that generates code suggestions and test cases, improving development efficiency and code quality.
  • Tabnine is an AI-powered code completion tool that predicts and suggests code snippets while typing, enhancing productivity and focusing on problem-solving in Java development.
  • Java's suitability for AI development lies in its robustness, platform independence, community support, and availability of libraries and frameworks tailored for AI projects.
  • The future of AI in Java looks promising with advancements in libraries like Deeplearning4j and improved integration with machine learning frameworks, paving the way for smarter applications.

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Dev

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NumberGuessingGame with springBoot and java

  • A Number Guessing Game was implemented in Java using Scanner and Random classes.
  • The game randomly selects a number between 1 and 100 for the user to guess.
  • The implementation involves user input, comparison with the generated number, and congratulatory message on successful guess.
  • Another version of the game was developed using Spring Boot with controllers and templates for a web interface.

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Javacodegeeks

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Running Java Apps on AWS Lambda with SnapStart: Is It Production-Ready Yet?

  • AWS Lambda SnapStart is a feature designed to improve cold start performance for Java applications on AWS Lambda by pre-initializing and snapshotting the runtime state.
  • SnapStart works by taking a snapshot of the Java runtime after initialization and restores this state for faster subsequent invocations, reducing cold start times by up to 10x.
  • Enabling SnapStart on Java 11 or Java 17 functions in AWS Lambda can significantly reduce cold start times, making it suitable for production-level Spring Boot applications.
  • Although SnapStart cuts cold start times by 90%, it is best suited for Spring Boot 3.x and may not be fully compatible with all AWS services yet, such as Provisioned Concurrency or Lambdas behind Elastic Load Balancer.
  • SnapStart is recommended for APIs with unpredictable traffic, event-driven workloads, and latency-sensitive features, but caution is advised for dynamic init logic or unsupported runtimes.
  • The article provides a ready-to-use project structure for a Spring Boot 3 + AWS Lambda SnapStart example, emphasizing proper setup and considerations to ensure successful deployment.
  • SnapStart is considered production-ready for Spring Boot applications if used cautiously, offering a significant reduction in cold start latency, but users must be mindful of potential limitations and compatibility issues.
  • Utilizing SnapStart can bring down cold start latency for Java Lambdas with Spring Boot and is recommended for most real-world applications, but users should handle it as a powerful tool to avoid unintended bugs.
  • Further resources provided include AWS SnapStart Documentation, Spring Cloud Function + AWS Lambda Guide, Micronaut SnapStart Example, and Java Lambda Best Practices for additional insights and best practices.

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Brain4j: Wait, Java Finally Has a Brain?

  • Brain4j is an open-source machine learning framework for Java developers, offering neural networks, classic ML algorithms, NLP tools, GPU acceleration, and enterprise-ready features.
  • Real-world uses of Brain4j include predictive analytics, computer vision, and fraud detection, making it functional for various applications.
  • Getting started with Brain4j involves adding dependencies, building neural networks, and utilizing its unique features like GPU acceleration.
  • Pros of Brain4j include no Python bridges, lightweight nature, and open-source availability, while cons include limited community support and potential challenges compared to TensorFlow in the AI field.

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Arxiv

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Are Sparse Autoencoders Useful for Java Function Bug Detection?

  • Sparse Autoencoders (SAEs) are explored as a lightweight, interpretable alternative for bug detection in Java functions to address software vulnerabilities such as buffer overflows and SQL injections.
  • SAEs are proposed as a solution to the challenges posed by the complexity and opacity of Large Language Models (LLMs) in vulnerability detection and secure code generation.
  • Evaluation shows that SAE-derived features enable bug detection with an F1 score of up to 89%, outperforming fine-tuned transformer encoder baselines.
  • This study provides empirical evidence that SAEs can detect software bugs directly from the internal representations of pretrained LLMs without requiring fine-tuning or task-specific supervision.

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Java’s Concealed Weaknesses: Insights from a Seasoned Coder

  • Java, a popular and widely-used programming language, has hidden drawbacks that may surprise developers.
  • Despite its power and reliability, Java has some weaknesses that can slow down developers, as highlighted by a seasoned coder.
  • While Java taught object-oriented programming and provided a structured foundation, its limitations became apparent as the coder explored other languages.
  • This blog offers honest insights into the concealed weaknesses of Java, providing valuable perspectives for both experienced and upcoming Java developers.

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Javacodegeeks

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Running Java Programs in the Background

  • Running a Java program in the background is essential for maintaining applications or services active even after terminal sessions end.
  • To run a Java program in the background, various methods like using '&', redirecting output, using nohup, screen sessions, tmux sessions, or shell scripts can be utilized.
  • Creating a simple Java application using Jetty Embedded and building it into an executable JAR file is a starting point.
  • Running a Java program in the background using '&' and redirecting output to log files is effective for lightweight applications or during development.
  • Using 'nohup' command allows running processes in the background even after closing the terminal session, which is useful for long-running applications.
  • Using 'screen' and 'tmux' sessions provides a way to create detachable terminals for managing long-lived processes interactively.
  • Creating a shell script to start a Java program in the background automates the launch process, but it may not be ideal for production environments due to limited error handling.
  • Stopping the background Java process can be done by identifying the process ID (PID) using 'jps' command and terminating it with a kill command.
  • Ensuring resources are released properly and avoiding leaving orphaned processes running is important when managing background Java processes.
  • In conclusion, utilizing tools like output redirection, nohup, screen sessions, or tmux can help in running Java programs effectively in the background on Unix-based systems.

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How to Read Data from Redis Slave Nodes Using Java?

  • Reading data from slave nodes in Redis is crucial for building scalable applications to offload read operations, enhance performance, and ensure high availability.
  • Redis follows a master-slave architecture where the master node handles write operations, while slave nodes replicate data from the master to handle read requests, improving load balancing and redundancy.
  • Using slave nodes in Redis offers benefits such as improved read performance, high availability in case of master failure, and data redundancy for safety against data loss.
  • To read data from Redis slave nodes using Java, you need to set up a Redis server with master and slave nodes, use the Jedis library, and create a Jedis instance to connect to the slave node and fetch data efficiently.

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Remove Vowel-java,PasswordValidator,Regex,Password Valitation

  • Removed vowels from the given word, displaying the remaining characters.
  • Found vowels in the given word and displayed them.
  • Validated a password by checking if it contained uppercase, lowercase, numbers, and special characters.
  • Explained the regex pattern for validating a string starting with PR followed by exactly 6 digits.

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Javacodegeeks

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Introduction to Apache Beam Using Java: A Beginner-Friendly Guide to Unified Data Processing

  • Apache Beam is an open-source, unified model for defining both batch and streaming data-parallel processing pipelines, allowing developers to write jobs that can run on various execution engines.
  • Apache Beam provides a high-level programming model with a unified API for batch and streaming, portability across multiple runners, and support for windowing, event time, triggers, and watermarks.
  • Java is the primary SDK for Apache Beam, offering mature API, better performance tuning options, wide usage in enterprise systems, and compatibility with Maven and Gradle for dependency management.
  • Apache Beam's unified API allows developers to define pipelines that can be configured for either batch or streaming at runtime, making it versatile for processing both bounded and unbounded datasets.

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Dev

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Say No to Lombok: Embrace MapStruct + Java Records for Clean, Modern Java

  • Lombok has been a popular tool for eliminating boilerplate code in Java development but comes with disadvantages like IDE confusion and hidden complexity.
  • Java Records and MapStruct offer a better alternative for clean mapping and type safety in Spring Boot applications, promoting immutability and clear code structure.
  • Java Records are immutable by default and come with a concise syntax, while MapStruct simplifies object mapping between different types with compile-time checks and integration with Spring Boot.
  • Using MapStruct + Java Records simplifies DTO mapping, enhances code clarity, and reduces bugs caused by unintended mutations, making it a preferred choice for modern Java development.

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