Here is short info about post: Artificial Intelligence (AI) has revolutionized the way we interact with software and autonomous systems. One of the key advancements in AI is the concept of multi-agent systems (MAS), where multiple intelligent agents interact and collaborate to solve complex tasks. Java, being a robust and object-oriented programming language, provides excellent libraries and frameworks for building MAS. In this article, we will explore the fundamental concepts of AI multi-agent systems, their applications, and how to implement them using Java. We will also ... Designing AI Multi-Agent Systems in Java
Here is short info about post: Aspect-Oriented Programming (AOP) is a powerful technique that helps separate cross-cutting concerns from business logic. One of its practical applications is post-processing REST requests in Spring applications using AspectJ. This article explores how AOP can be leveraged to modify or log responses after a REST API call completes execution. We’ll cover the fundamental concepts, setup, and implementation with coding examples. Understanding AOP and AspectJ AOP allows developers to separate concerns such as logging, security, and caching from the core business ... Using AOP for Post-Processing REST Requests with Spring and AspectJ
Here is short info about post: React provides multiple ways to interact with the DOM, and one of the most effective methods is through callback refs. Callback refs offer a powerful and flexible alternative to string refs and React.createRef(), allowing developers to dynamically access and manipulate DOM elements. In this article, we will explore how callback refs enhance DOM manipulation, address common issues, and enable advanced component interactions with practical coding examples. Understanding Callback Refs in React Callback refs are a function-based approach to referencing DOM ... How React Callback Refs Enhance DOM Manipulation, Address Common Issues, and Enable Advanced Component Interactions
Here is short info about post: Microservices architecture has gained immense popularity due to its scalability, maintainability, and resilience. In this guide, we will build a stateless Flask microservice using GitHub Copilot in Visual Studio Code (VSCode). This microservice will handle HTTP requests and demonstrate best practices for stateless design. Prerequisites Before we begin, ensure you have the following installed: Python (3.8 or higher) pip (Python package manager) Virtual Environment (venv) Visual Studio Code (VSCode) GitHub Copilot extension for VSCode Setting Up the Development Environment First, ... Building a Stateless Flask Microservice Using GitHub Copilot in VSCode
Here is short info about post: Amazon Web Services (AWS) CloudFormation is a powerful Infrastructure-as-Code (IaC) service that enables users to define and provision AWS resources using templates. It simplifies infrastructure management by automating resource deployment and ensuring consistency across environments. CloudFormation supports various AWS services, including Elastic Beanstalk, serverless applications, and Amazon EC2, making it an essential tool for DevOps teams aiming for repeatable and efficient deployments. Benefits of AWS CloudFormation AWS CloudFormation provides several advantages for managing cloud resources: Automation and Efficiency: Reduces manual ... AWS CloudFormation: Automating Infrastructure With Code
Here is short info about post: Retrieval-Augmented Generation (RAG) is a powerful technique that enhances generative AI models by integrating an external knowledge base. In this article, we will explore how to build a RAG application using Apache Cassandra, Python, and Ollama, a lightweight framework for deploying large language models (LLMs) efficiently. What is Retrieval-Augmented Generation (RAG)? RAG combines two essential AI components: Retrieval: Extracting relevant information from a knowledge base. Generation: Using a generative model to answer queries based on the retrieved information. This hybrid ... Building RAG Apps With Apache Cassandra, Python, and Ollama
Here is short info about post: Modern application development demands clean, maintainable, and modular code. However, concerns such as logging, security, and performance monitoring tend to spread across multiple modules, making the codebase cluttered and hard to manage. Aspect-Oriented Programming (AOP) emerges as a solution by allowing developers to separate cross-cutting concerns from business logic. In this article, we will explore how AOP simplifies application development, enhances modularity, and improves maintainability. We will also look at practical coding examples to demonstrate its effectiveness. What is Aspect-Oriented ... How Aspect-Oriented Programming (AOP) Simplifies Modern App Development By Handling Cross-Cutting Concerns
Here is short info about post: Handling sensitive data securely is crucial in modern applications. In this article, we will build a simple Spring Boot application that securely stores and retrieves sensitive information using Redis. We will cover encryption, proper configuration, and security best practices. Spring Boot is widely used for building scalable applications, and Redis is a powerful in-memory data store that provides speed and flexibility. When dealing with sensitive data such as user credentials, API keys, or personally identifiable information (PII), we must ensure ... Creating a Simple Application That Handles Sensitive Data Leveraging Spring and Redis
Here is short info about post: Tree-sitter is a powerful incremental parsing library used to analyze and manipulate source code. It is widely employed in text editors, IDEs, and developer tools to provide fast and accurate syntax tree parsing. In this article, we will explore how to use Tree-sitter in Python to build a custom tool for parsing source code and extracting call graphs. Introduction to Tree-Sitter Tree-sitter is an efficient, incremental parsing library designed to build and process syntax trees. It supports multiple programming languages ... Using The Tree-Sitter Library In Python To Build A Custom Tool For Parsing Source Code And Extracting Call Graphs
Here is short info about post: Large Language Models (LLMs) are increasingly being used to automate complex workflows. However, LLMs often require external tools and APIs to perform specialized tasks such as querying databases, sending emails, or fetching real-time data. Apache Camel, a powerful integration framework, and LangChain4j, a Java-based extension of LangChain, provide a seamless way to connect LLMs with various tools. In this article, we will explore how to integrate Apache Camel with LangChain4j to enhance LLM capabilities. We will provide step-by-step coding examples ... How To Use Apache Camel with LangChain4j To Provide Large Language Models (LLMs) With The Ability To Call Tools, Enhancing The Integration Workflows
Here is short info about post: Azure Cosmos DB now supports vector search, which allows you to perform efficient similarity searches on high-dimensional data, such as embeddings from AI models. This tutorial will guide you through enabling and using vector search in Azure Cosmos DB for NoSQL with Python, TypeScript, .NET, and Java, using a movie dataset as an example. Prerequisites Before diving into the implementation, ensure you have the following: An Azure subscription with access to Azure Cosmos DB. Azure Cosmos DB for NoSQL account. ... How To Enable And Use Vector Search In Azure Cosmos DB for NoSQL In Python, TypeScript, .NET, And Java Using A Movie Dataset
Here is short info about post: PDF files are commonly used for sharing and storing documents due to their consistent formatting and widespread compatibility. However, sometimes you may need to split a large PDF file into separate documents. This can be useful for extracting specific pages, creating individual reports, or managing document workflow. In this article, we will explore different approaches to splitting PDF files using Java. We will cover libraries such as Apache PDFBox and iText, providing comprehensive coding examples for each. By the end ... How to Split PDF Files into Separate Documents Using Java