News Aggregator

A Guide to Auto-Tagging and Lineage Tracking With OpenMetadata

Aggregated on: 2025-05-27 16:28:04

Tagging metadata and tracking SQL lineage manually is often tedious and prone to mistakes in data engineering. Although essential for compliance and data governance, these tasks usually involve lengthy manual checks of datasets, table structures, and SQL code. Thankfully, advancements in large language models (LLMs) such as GPT-4 provide a smarter and more efficient solution. This guide helps beginner data engineers learn how to use LLMs with tools like OpenMetadata, dbt, Trino, and Python APIs to automate metadata tagging (like identifying PII) and lineage tracking for SQL changes. Let's explore the details.

Introducing Graph Concepts in Java With Eclipse JNoSQL

Aggregated on: 2025-05-27 15:28:04

When we talk about databases today, we face a landscape of diversity. Gone are the days of a one-size-fits-all solution. We live in an era of polyglot persistence, where the guiding principle is to use the most appropriate data model for each use case. This article focuses on graph databases, their structure, practical applications, and how Java developers can leverage Eclipse JNoSQL and Jakarta Data to work seamlessly with them. Graph databases enable richer and more natural modeling of connected data. Unlike traditional relational databases that require complex joins to represent relationships, graph databases make relationships first-class citizens. A graph model organizes data into vertices (nodes) and edges (relationships). Both vertices and edges can hold properties, and edges are directional, adding semantic meaning to how data points connect.

Building a Real-Time Audio Transcription System With OpenAI’s Realtime API

Aggregated on: 2025-05-27 14:13:04

OpenAI launched two new Speech to Text models gpt-4o-mini-transcribe and gpt-4o-transcribe in March 2025. These models support streaming transcription for both completed and ongoing audio. Audio transcription refers to converting the audio input to text output (output format would be text or json).The transcription of already completed audio is much simpler using the transcription API provided by OpenAI. The Realtime transcription is useful in application that require immediate feedback such as Voice assistants, Live captioning, Interactive voice applications, Meeting transcription and Accessibility tools. OpenAI has provided Realtime Transcription API (currently in beta) which allows you to stream audio data and receive transcription results in real-time. The realtime transcription API should be invoked using WebSocket or webRTC. This article focuses on invoking Realtime API using Java WebSocket implementation. This image has been designed using resources from Flaticon.com

Using Java Stream Gatherers To Improve Stateful Operations

Aggregated on: 2025-05-27 13:28:04

In the AngularPortfolioMgr project, the logic for calculating the percentage difference between stock quotes is a stateful operation, since it requires access to the previous quote. With Java 24, Stream Gatherers are now finalized and offer a clean way to handle such stateful logic within the stream itself.

Traditional Testing and RAGAS: A Hybrid Strategy for Evaluating AI Chatbots

Aggregated on: 2025-05-27 12:28:04

With the advent of Artificial Intelligence, Retrieval-Augmented Generation (RAG) models are commonly used in simple applications such as chatbots for websites. These models offer practical solutions, but ensuring their accuracy and user-friendliness remains a key concern. When it comes to software testing, there are several approaches. Traditional testing techniques can be employed alongside newer RAG testing frameworks such as Retrieval-Augmented Generation Assessment Suite (RAGAS). This article introduces software testers, especially those just getting exposure with AI, to a hybrid approach of testing, which includes traditional and RAGAS-based chatbot application testing approaches. We explore a structured approach to testing a chatbot RAG model using traditional software testing techniques and provide an introduction to RAGAS, analyzing their effectiveness.

Data Lake vs. Warehouse vs. Lakehouse vs. Mart: Choosing the Right Architecture for Your Business

Aggregated on: 2025-05-27 11:13:04

In today’s data-driven world, choosing the right architecture is crucial. This article compares data warehouse, data lake, data lakehouse, and data mart through real-world business use cases—exploring how data flows from raw sources to decision-making dashboards. Each serves a unique purpose, and choosing the right one depends on your team's goals, tools, and data maturity. Data Lake Data lake is a large repository that stores huge amounts of raw data in its original format until you need to use it. There are no fixed limitations on data lake storage. That means that considerations—like format, file type, and specific purpose—do not apply. It is used when organizations need flexibility, and is required in data processing and analysis. Data lakes can store any type of data from multiple sources, whether that data is structured, semi-structured, or unstructured. As a result, data lakes are highly scalable, which makes them ideal for larger organizations that collect a vast amount of data.

The End of “Good Enough Agile”

Aggregated on: 2025-05-26 21:28:03

TL; DR: The End of “Good Enough Agile” “Good Enough Agile” is ending as AI automates mere ceremonial tasks and Product Operating Models demand outcome-focused teams. Agile professionals must evolve from process facilitators to strategic product thinkers or risk obsolescence as organizations adopt AI-native approaches that embody Agile values without ritual overhead. The Perfect Storm Coming After Good Enough Agile For two decades, many of us have participated in, or at least witnessed, a prolonged performance of “Agile-as-theater.” Now, the curtain is falling. Mechanical Scrum, stand-ups — or Daily Scrum, if you prefer that term — without tangible purpose, estimation rituals that pretend to forecast the future, Jira-as-performance-art; we’ve normalized Agile as a checklist. Useful, perhaps, if you blinked hard enough and never dared ask about the return on investment.

Designing for Sustainability: The Rise of Green Software

Aggregated on: 2025-05-26 20:28:03

The software industry is one of the fastest-growing sectors in the world, with an estimated 20% annual growth rate. The rapid growth, however, incurs a substantial environmental cost. The production and operation of software systems consume vast amounts of energy, resulting in substantial greenhouse gas emissions. This article provides an overview of the green software movement, including its key principles and benefits. We'll also explore some real-world examples of companies that have successfully implemented green software design principles, resulting in significant energy reductions and cost savings.

Understanding the Shift: Why Companies Are Migrating From MongoDB to Aerospike Database?

Aggregated on: 2025-05-26 19:13:03

As businesses evolve, their database needs to become more sophisticated, demanding higher performance, scalability, and cost-efficiency. While MongoDB has been a cornerstone in the NoSQL database ecosystem, Aerospike is emerging as a preferred alternative for organizations with specific high-performance and real-time use cases. This article dives into the technical reasons driving this shift and examines why Aerospike is gaining traction as the database of choice for modern enterprises. Architecture Differences MongoDB MongoDB is a document-oriented NoSQL database that stores data in BSON (Binary JSON) format. It relies heavily on a primary-secondary replication model for high availability and uses memory-mapped files for storage. While this architecture works well for general-purpose workloads, it can struggle with scaling and performance under heavy transactional loads or real-time data requirements.

Leveraging Natural Language Processing for Enhancing Sales Chatbots

Aggregated on: 2025-05-26 18:13:03

With natural language processing (NLP) capabilities, sales representatives can drive engagement, personalize interactions and boost sales conversions. How can developers incorporate these techniques into their sales chatbots? How Developers Can Use NLP to Improve Sales Chatbots Many sales departments use artificial intelligence chatbots. According to McKinsey & Company, sales is the most common application of generative technology, with around 34% of respondents stating they regularly use it for this function.

Advancing Your Software Engineering Career in 2025

Aggregated on: 2025-05-26 17:28:03

The Key Industry Trends You’ve probably heard of "The Great Flattening." In 2024, companies like Amazon, Google, and Meta started cutting middle management to make things more efficient. As a manager, I’ve felt this shift firsthand. Suddenly, there are fewer layers, and while it’s streamlined decision-making, it’s also changed how we think about career growth. But here’s the good news: for engineers, this doesn’t directly impact our day-to-day work. We’re still building, innovating, and solving problems. Then there’s GenAI. I was skeptical initially when I first heard tech leaders like Mark Zuckerberg predict that AI could replace mid-level engineers by 2025 or when Google CEO mentioned that 25% of Google’s new code is already AI-generated but as of now, you may have also experienced this first hand on what Gen AI coding agents can do. As per this article from CIO, AI coding agents will take over the world by 2027. So how do you thrive in this world and advance your career? Here is some of my advice which is equally applicable in the normal or challenging times.

The Evolution of Scalable and Resilient Container Infrastructure

Aggregated on: 2025-05-26 16:28:03

Kubernetes has taken over the world by storm. You could unconditionally say that it has won the container war. Docker has similar offering with Docker Swarm but Kubernetes offers a lot more in the form of resiliency, scale, ecosystem and production readiness. So, what does Kubernetes solve? And why does its demand grow drastically? In order to understand this we need to go back in history.

Supervised Fine-Tuning (SFT) on VLMs: From Pre-trained Checkpoints To Tuned Models

Aggregated on: 2025-05-26 15:28:03

Vision-Language Models (VLMs) like LLaMA are becoming increasingly powerful at understanding and generating text grounded in visual content. They excel at tasks like image captioning, visual question answering (VQA), and multimodal reasoning—making them highly useful in a wide range of real-world applications. But while these models perform impressively out of the box, domain-specific or task-specific use cases often demand additional tuning. This is where Supervised Fine-Tuning (SFT) comes in. By fine-tuning a pre-trained VLM on curated image–question–answer (QA) pairs, we can significantly improve its performance for specific applications.

Advancing Robot Vision and Control

Aggregated on: 2025-05-26 14:13:03

Introduction: Enhancing Robotic Capabilities Good hand-eye coordination is essential for robotic systems, most notably in the context of engaging with objects in tasks that involve reaching, manipulation, and/or pick-and-place tasks. This paper reviews approaches utilizing visual servoing and deep reinforcement learning (RL) to improve control of robots with a comparison of the two approaches and suggests a hybrid method for optimal control performance. Problem Statement and Significance Robotic tasks often involve coordination of visual perception with motion of the robot. Classic methods that rely on visual servoing can achieve good accuracy with limited training data, while methods based on reinforcement learning can generalize globally but require a large amount of training data. There is a possible synergy to bring together the best of both worlds—a hybrid approach that avoids the problems of each method and yields good accuracy, robustness, and efficiency.

Navigating and Modernizing Legacy Codebases: A Developer's Guide to AI-Assisted Code Understanding

Aggregated on: 2025-05-26 13:13:03

Legacy codebases present unique challenges for modern development teams. Whether you're dealing with a decade-old monolithic application or attempting to modernize an e-commerce platform, the complexity of understanding and updating legacy code can significantly impact development velocity. This article provides practical strategies and technical approaches for effectively navigating, understanding, and modernizing legacy systems. Understanding the Legacy Code Challenge Modern development teams frequently encounter several critical challenges when working with legacy systems. As Scott Dietzen, CEO of Augment Code notes in a written Q&A I conducted with him, "Reality is typically tens to hundreds of engineers collaborating to modify code spread across thousands of files built on numerous dependencies. Understanding contextual knowledge in your software—your APIs, how it's built, your policies and best practices, and where functionality is implemented—is crucial for effective modernization."

The Perfection Trap: Rethinking Parkinson's Law for Modern Engineering Teams

Aggregated on: 2025-05-26 12:28:03

Great engineering leadership isn’t measured by output squeezed from teams, but by value unlocked through the right conditions. After years guiding engineering teams through challenges, I’ve come to re-evaluate some classic management principles through a modern engineering lens. One concept I frequently encounter in discussions about productivity is Parkinson’s Law. This seemingly simple principle has profound implications for how we lead engineering teams—but not necessarily in the way many think.

Efficient API Communication With Spring WebClient

Aggregated on: 2025-05-26 11:58:03

In modern distributed systems, calling other services from an application is a common task for developers. The use of WebClient is ideally suitable for such tasks owing to its non-blocking nature. The WebClient is a reactive HTTP client in Spring WebFlux. Its main advantage is asynchronic, non-blocking communication between microservices or external APIs. Everything in WebClient is built around events and reactive streams of data, enabling you to focus on business logic and forget about efficient management of threads, locks, or state.

Navigating Double and Triple Extortion Tactics

Aggregated on: 2025-05-26 11:28:03

Ransomware attackers are not just encrypting data anymore. They're exfiltrating sensitive information and threatening to leak it unless the ransom is paid. Modern ransomware attacks focus on encrypting victims’ data and demanding payment for the decryption key, often combined with double or triple extortion tactics—such as data theft and threats of public exposure—to maximize pressure on victims. These multi-layered extortion methods have become a common and effective strategy in the execution of ransomware campaigns. Double Extortion Tactics Double extortion is a process that engages a two-pronged approach to carry out the ransomware attack. The first step in a ransomware attack typically involves encrypting the victim’s data, following traditional methods to block access and demand a ransom in exchange for the decryption key. This renders critical files inaccessible, disrupting operations and forcing victims into a difficult decision.

Enhancing Business Decision-Making Through Advanced Data Visualization Techniques

Aggregated on: 2025-05-23 21:13:02

Today's world is fast-paced and data-driven, where effectively interpreting complex datasets can mean the difference between business success and stagnation. Data visualization has emerged as a crucial tool in transforming raw data into actionable insights that enable organizations to make informed decisions to enhance operational efficiency and strategic planning. This article explores the role of advanced data visualization techniques in driving business success, offering insights, examples, and best practices to help you maximize the potential of your data. Importance of Data Visualization in Business Data visualization bridges the gap between raw data and decision-makers. It provides an intuitive understanding of complex datasets. By representing data visually, organizations can:

Event Driven Architecture (EDA) - Optimizer or Complicator

Aggregated on: 2025-05-23 20:28:02

Abstract This article explores the practical realities of Event-Driven Architecture (EDA)—a paradigm often celebrated for its scalability, responsiveness, and flexibility in modern software systems. Drawing from years of hands-on experience with technologies like Kafka, RabbitMQ, and AWS SNS, I present a balanced view of EDA's benefits and pitfalls. The article delves into its core advantages, including loose coupling, asynchronous processing, real-time responsiveness, and extensibility, and aligns it with complementary approaches like Domain-Driven Design. At the same time, it sheds light on lesser-discussed challenges such as observability gaps, schema versioning, testing complexity, event duplication, and message sequencing. Real-world success stories from companies like Netflix and Walmart illustrate its potential, and I would also like to emphasize the importance of guardrails, error-handling patterns, and security best practices to build resilient systems. Ultimately, this article advocates for a thoughtful, problem-first approach to adopting EDA and highlighting that, while it can optimize systems at scale, it must be applied judiciously to avoid unnecessary complexities. Introduction Over the years I have used varied technologies and tools to build applications to meet customer or internal needs. I am a developer who has seen a transition from Titanic (water fall) to Jet Ski (agile), from Gantt charts to stand ups and from giant bricks (Monoliths) to tiny boxes (Microservice). We are always riding the wave of technology. Every time we move to something new or more modern, it's glorified. We put technology ahead of a problem sometimes.

Rust, WASM, and Edge: Next-Level Performance

Aggregated on: 2025-05-23 19:13:02

Performance used to be something we worried about last. Now, it’s part of the foundation. What’s “Fast Enough” Anymore?

Proactive Security in Distributed Systems: A Developer’s Approach

Aggregated on: 2025-05-23 18:28:02

Once the product becomes famous and the customer base increases, it is no longer viable to serve the customers using simple systems without too many bottlenecks. Distributed software systems are inevitable, and it is directly related to the growth of the product. Building distributed systems is hard, and at the same time, it is fun. It is solving one big never-ending puzzle that gives you one unique challenge every day or every week depending on the size of the system. You cannot imagine any systems being built without security under consideration since for most organizations security is "job zero" or "job one," whichever order they follow. Now building the security into distributed systems being a big challenge is an understatement. Software developers previously primarily focused on getting the product to work and tried to fit the security into the product later. This approach came with a lot of overhead cost and reworks. It has changed a lot in recent times since organizations started to focus on it more than before. Developers started considering security in the early stage of the project. However, this kind of adoption varies across various sizes of the organization and their maturity. This article is going to talk about a few common distributed security trends from recent security reports and how developers can try to defend them when building.

Implementing API Design First in .NET for Efficient Development, Testing, and CI/CD

Aggregated on: 2025-05-23 17:28:02

In today's agile software landscape, building robust and scalable applications hinges on well-defined APIs. The API design-first approach offers a structured methodology where the API contract is meticulously crafted before any code is written. This strategy is powered by the OpenAPI Specification (OAS) for Synchronous APIs and AsyncAPI Specification for Asynchronous APIs. This article (an opinionanted tutorial) provides a practical guide to implementing API design-first in Synchronous .NET API projects, with a strong focus on its benefits for development, testing, and seamless integration into DevOps CI/CD pipelines. I will follow up with an AsyncAPI article later.

Software Delivery at Scale: Centralized Jenkins Pipeline for Optimal Efficiency

Aggregated on: 2025-05-23 16:28:02

Software engineers face immense pressure to deliver high-quality software quickly and efficiently. However, traditional software delivery processes often become bottlenecks, slowing progress with manual checks, repetitive testing, and cumbersome compliance procedures. This calls for an innovative solution—a way to automate, streamline workflows, and enable teams to focus on their true passion: writing great code. This article explores the concept, benefits, and implementation of centrally orchestrated pipelines, with a working example.

Navigating Change Management: A Guide for Engineers

Aggregated on: 2025-05-23 15:43:02

Change is a constant in tech. As an Engineering Manager, I've had the opportunity to guide teams through evolving priorities, emerging technologies, and organizational adaptations. This isn't just abstract management theory—it's practical experience I apply daily to help talented engineers thrive during transitions. In this guide, I'll share practical strategies for engineers dealing with various forms of workplace change—from team restructuring to shifting priorities and career uncertainty. These approaches have helped me and many engineers I've worked with maintain focus, motivation, and growth even during significant transitions.

After 9 Years, Microsoft Fulfills This Windows Feature Request

Aggregated on: 2025-05-23 14:43:02

Most of the source code for the Windows Subsystem for Linux (WSL) has now been released on GitHub. Microsoft announced on May 19 that developers and hobbyists can now build WSL from source, explore the code, experiment with modifications, and contribute directly to its development. What is Windows Subsystem for Linux? Windows Subsystem for Linux is a feature that allows users to run a Linux environment inside a Windows machine without requiring a virtual machine or dual boot setup. The first version, WSL, was released in 2016. Shortly after its launch, the first issue raised about WSL on GitHub questioned whether the feature would ever be open sourced; nearly a decade later, Microsoft has answered that request.

Implementing Explainable AI in CRM Using Stream Processing

Aggregated on: 2025-05-23 14:13:02

Modern-day customer relationship management (CRM) systems have become a vital element of the business ecosystem, orchestrating engagement at a personalized level and scale. Transparency becomes necessary in automated systems and machine-learning environments, especially when these systems have an increasing prominence in operations. Thus, explainable AI can be a solution: it makes model decisions interpretable and justifiable. This proved very powerful when combined with stream processing, allowing responsiveness in real time. Hence, together, they may remodel CRM platforms into intelligent systems: automated and yet understandable and controllable.

Event-Driven Microservices: How Kafka and RabbitMQ Power Scalable Systems

Aggregated on: 2025-05-23 13:43:02

Event-driven microservices have revolutionized how modern applications handle data flow and communication. Using message brokers such as Apache Kafka and RabbitMQ, microservices can efficiently process and distribute events in a scalable, fault-tolerant manner. This tutorial will guide you through the fundamentals of event-driven microservices, focusing on how Kafka and RabbitMQ enable scalable architectures.

Distributed Consensus: Paxos vs. Raft and Modern Implementations

Aggregated on: 2025-05-23 13:28:02

Distributed consensus is a fundamental concept in distributed computing that refers to the process by which multiple nodes (servers or computers) in a distributed system agree on a single data value or a sequence of actions, ensuring consistency despite the presence of failures or network partitions. In simpler terms, it's the mechanism that allows independent computers to reach agreement on critical data or operations even when some nodes fail or communication is unreliable. The importance of distributed consensus in today's technology landscape cannot be overstated. It serves as the foundation for:

Optimizing Software Performance for High-Impact Asset Management Systems

Aggregated on: 2025-05-23 12:58:01

My extensive experience building complex software systems has shown that performance optimization is often the deciding factor between operational success and failure, especially in large-scale environments managing millions of interconnected components. Unlike consumer-facing apps, enterprise asset management platforms must meet rigorous demands: high concurrency, guaranteed data integrity, and real-time access to mission-critical information. The Problem With Traditional Systems Conventional enterprise systems typically rely on synchronous APIs and relational databases. While this setup can support simple queries under moderate load, it struggles with the complexity and scale of modern asset management needs. When tens of thousands of users query complex bill of materials (BOMs), multi-level part hierarchies, or conditional attributes at once, latency becomes inevitable.

Scaling Microservices With Docker and Kubernetes on Production

Aggregated on: 2025-05-23 12:28:02

I am building a fleet of Python FastAPI microservices and aiming to scale them efficiently in a production environment. Each service runs inside a Docker container, which keeps it isolated and portable. I’m orchestrating these containers with Kubernetes, specifically using the lightweight K3s distribution on the Azure cloud. In this article, I share my hands-on experience optimizing this setup for high performance and reliability in production.

Apple and Anthropic Partner on AI-Powered Vibe-Coding Tool – Public Release TBD

Aggregated on: 2025-05-23 11:58:02

Apple has quietly partnered with Anthropic to build a new “vibe-coding” software tool that uses AI to write, test, and fix code. According to Bloomberg’s Mark Gurman, the project is essentially a revamped version of Xcode, Apple’s flagship software for building apps. But this new tool is infused with the Claude Sonnet model developed by Anthropic. It includes a chat-based interface where developers can instantly type requests and get code written. The vibe-coding tool can also debug apps and test user interfaces.

Modern Test Automation With AI (LLM) and Playwright MCP

Aggregated on: 2025-05-23 11:28:02

Delivering high-quality applications at scale is a constant challenge. Traditional test automation, while powerful, often struggles with dynamic user interfaces, flaky tests, and time-consuming script maintenance. This blog explores how generative AI (GenAI) and Playwright MCP (Model Context Protocol) work together to streamline QA processes, boost efficiency, and empower testers to focus on strategic tasks.

Power BI Embedded Analytics — Part 3: Power BI Embedded Demo

Aggregated on: 2025-05-22 21:28:01

Note: This article presents the details of a Power BI Embedded Demo application. This is a continuation of the articles Power BI Embedded Analytics — Part 1 and Power BI Embedded Analytics — Part 2, which discuss Power BI Authoring and Power BI Embedded. So, it is recommended that you go through the previous parts of the series. Power BI Embedded Demo Source Code Github: https://github.com/robinrizvi/embedded-analytics-poc

System Coexistence: Bridging Legacy and Modern Architecture

Aggregated on: 2025-05-22 20:28:01

Abstract Organizations are challenged with integrating legacy systems and modern applications in a way that ensures operational harmony and business continuity. This article explores the concept of system coexistence, the ability of diverse software systems built across different eras and architectures to function together within shared environments. It delves into practical strategies for achieving coexistence, such as the Strangler Fig Pattern, adapter-based decoupling, and event-driven communication models. The article also addresses critical supporting aspects like data coexistence, observability, and performance monitoring, emphasizing that coexistence is not merely a transitional phase but a strategic imperative for sustainable growth and innovation. Drawing on real-world examples, such as Netflix’s cloud migration and the HealthCare.gov launch failure, this piece provides a roadmap for organizations to navigate coexistence successfully while preparing for scalable, future-ready systems. Introduction We live in a world where it's easy to assume that all our applications built at different times, using the "best" technologies of their era will seamlessly integrate and continue to function in harmony. Yet, time and again, we’re proven wrong.

The Role of AI in Identity and Access Management for Organizations

Aggregated on: 2025-05-22 19:28:01

Introduction Identity and Access Management (IAM) is a key pillar of any organization. It plays a vital role in enterprise security—securing the resources and the data of an organization by making sure only authorized users have access. As the IT infrastructure of organizations is growing exponentially and increasing cyber threats, rule based IAM solutions are often insufficient. To enhance security, streamline processes, reduce operational costs, and adapt to evolving threats, organizations are integrating their IAM systems with Artificial Intelligence (AI). This article examines the technical aspects of how AI is driving a change in IAM for organizations.

Build a Simple REST API Using Python Flask and SQLite (With Tests)

Aggregated on: 2025-05-22 18:28:01

You can find the complete project and test files for this tutorial on GitHub if you’d like to follow along or extend the code further. In this tutorial we are going to build a REST API using Python Flask. We will create a simple Flask application that serves a single endpoint, GET /items, which returns a list of items from a SQLite database. This guide is written for beginners and will walk you through each step in a straightforward way. By the end, you will have a working API, a basic test file to verify the API, and a project structure that you can zip and upload to GitHub.

How to Create a Successful API Ecosystem

Aggregated on: 2025-05-22 18:28:01

Application programming interfaces (APIs) are essential to a developer’s daily work. They are the reasons why diverse hardware and the internet communicate seamlessly. Here is an accessible look into the world of API ecosystem creation for coders of all skill levels. What Is an API Ecosystem and Its Role for Devs? An API ecosystem is a collection of APIs working together. They function alongside many programs, documents, databases, scripts, and support to make digital spaces functional and easy to use. The network is like an open forum where various stakeholders can request services and information from other experts.

Go 1.24+ Native FIPS Support for Easier Compliance

Aggregated on: 2025-05-22 18:28:01

In February, Go released version 1.24, introducing significant enhancements to its cryptographic libraries, particularly in achieving FIPS (Federal Information Processing Standards) compliance. This update positions Go as a superior choice for developers building applications for U.S. federal government use. By eliminating dependency on third-party libraries and integrating FIPS compliance directly into its core, Go 1.24 simplifies and streamlines development for government-regulated industries. In this article, we’ll explore what FIPS is, why it matters, and how Go 1.24 changes the game for FIPS compliance.

Assessing Bias in AI Chatbot Responses

Aggregated on: 2025-05-22 18:28:01

Abstract AI communication in the form of chatbots has brought about a new paradigm of communication and service delivery through the use of large language models (LLMs) like GPT. However, as these technologies are applied in daily life, questions about the bias of the answers given by chatbots also arise. In this paper, the focus will be on discussing the ethical considerations of AI chatbots, including the detection of bias, fairness, and transparency. Bias detection techniques described in the study include fairness metrics, sensitivity analysis, and bias correction algorithms. It also emphasizes the importance of diverse training data and the integration of ethical protocols to avoid radiating bias. The consequences of bias in AI chatbots are explored in a range of cases and actual-life scenarios in settings including healthcare, recruitment, and customer relations and service. The study draws attention to the fact that more work has to be done to make certain that AI chatbots are designed and utilized in a way that is ethical and not deceptive. Keywords AI Chatbots, Bias Detection, Fairness Metrics, Transparency, Ethical AI, Bias Mitigation, Generative Pretrained Transformers (GPT), Chatbot Development, Ethical Guidelines, Artificial Intelligence

Knowledge Graph Embeddings and NLP Innovations

Aggregated on: 2025-05-22 18:28:01

Knowledge Graph Question Answering (KGQA) systems facilitate the structuring of typical natural language queries and consequently retrieve specific, relevant information from knowledge graphs efficiently. Given new advances in Knowledge Graph Embeddings (KGEs) and the sophistication of Large Language Models (LLMs), significant strides are being made in understanding complex semantic relationships and multi-hop queries. This article provides a comprehensive examination of embedding methodologies, particularly emphasizing advanced negative sampling strategies, and discusses the deployment of cutting-edge NLP architectures, such as RoBERTa, to enhance query representation and retrieval accuracy. Problem Synopsis and Importance Current KGQA frameworks face substantial obstacles in accurately interpreting, extracting, and reasoning over intricate relational data patterns present in multi-hop queries. These questions are notoriously nuanced and call for the ability to draw complex distinctions and conclusions. Unfortunately, conventional embedding techniques can miss the nuances of these relationships across the entire knowledge graph space, limiting the reliability and performance of KGQA systems. Better continual refinement of knowledge graph embeddings using more sophisticated negative sampling methods and more detailed NLP models creates excellent opportunities for enhancing query interpretation and answer precision.

SaaS in an Enterprise - An Implementation Roadmap

Aggregated on: 2025-05-22 15:28:01

With business software changing daily, companies are adopting Software as a Service (SaaS) solutions due to their agility, expandability, and economical nature. Compared to conventional software that must be installed on a local computer, SaaS is more appealing because it makes accessing applications over the internet much simpler. That said, a successful SaaS implementation entails consideration of planning, proper training, engagement of relevant parties, and continuous improvement. In this article, we discuss several approaches that ensure the effectiveness of your SaaS implementation.

Code Reviews: Building an AI-Powered GitHub Integration

Aggregated on: 2025-05-22 14:58:01

One common issue with growing teams with an extensive codebase is maintaining the code quality. It requires tremendous effort to maintain the code base, and manual code reviews often create a bottleneck during the development process. One standard practice is to get the pull request (PR) reviewed by a senior engineer before merging it into the code base. But developers often get overloaded with reviews as they continue to deliver their regular tasks and might overlook some of the minute details that end up in production. I personally had an experience where a simple missing null check created a cascading error during migration, ultimately leading to corrupted data in production. Human beings tend to make such mistakes, and it is a very common issue.

Analyzing Techniques to Provision Access via IDAM Models During Emergency and Disaster Response

Aggregated on: 2025-05-22 14:28:01

Introduction A natural or human-made disaster is a significant concern for populations across the world. It is important that the response to such cases be prompt and effective so that human and financial losses are minimized. In addition, while the response operations to such critical situations are often complex and complicated, a timely response is crucial. Therefore, designing and implementing effective identity and access management (IDAM) systems to respond to such incidents is the need of the hour. This article talks about the need for providing secure access in disaster response and the different techniques to provide access to key stakeholders during an emergency response. The Need for Secure Access in Disaster Response During disaster relief efforts several stakeholders are called upon to action. They include multiple organizations, such as government agencies, non-profits, private sector companies, and many more. Employees or staff of such organizations along with volunteers, many of whom may or may not have any sort of previous experience or affiliations with such agencies, must be onboard rapidly and granted access to mission critical resources.

MCP Servers: The Technical Debt That Is Coming

Aggregated on: 2025-05-22 13:58:01

Over the last decade, we’ve refined how APIs are built, shared, and consumed. REST became a common ground, OpenAPI offered structure, and gRPC brought speed. But now, in the age of AI, something new is surfacing: the rise of MCP servers — Model Context Protocol servers. These systems offer an enticing promise: bring AI into the loop by orchestrating backend calls, shaping flows in natural language, and empowering LLMs to act more independently.

Chat With Your Knowledge Base: A Hands-On Java and LangChain4j Guide

Aggregated on: 2025-05-22 13:28:01

Disclaimer: This article details an experimental project built for learning and demonstration purposes. The implementation described is not intended as a production-grade solution. Some parts of the code were generated using JetBrains’ AI Agent, Junie. Large language models (LLMs) like GPT-4, Llama, and Gemini have revolutionized how we interact with information. However, their knowledge is generally limited to the data they were trained on. What if you need an AI assistant that understands your specific domain knowledge — your company’s internal documentation, product specs, or operational data from a complex system?

GitHub Copilot's New AI Coding Agent Saves Developers Time – And Requires Their Oversight

Aggregated on: 2025-05-22 12:58:01

At Microsoft’s Build developer conference, GitHub announced the rollout of a new AI coding agent built directly into GitHub Copilot. This upgraded assistant can now handle development tasks like fixing bugs, writing features, refactoring code, and improving documentation. Developers can assign issues to Copilot through GitHub.com, GitHub Mobile, or the GitHub command-line interface, just like assigning them to a human. The agent reacts with an eyes emoji and kicks off its work.

Intro to RAG: Foundations of Retrieval Augmented Generation, Part 2

Aggregated on: 2025-05-22 12:28:01

In the last post, we discussed the basics of retrieval-augmented generation (RAG) and how it enhances the capabilities of large language models (LLMs) by integrating them with external knowledge sources. We also introduced the concept of vector embeddings and their role in semantic search. In this post, we'll dive deeper into the different layers of RAG, including vector RAG, graph RAG, and agents. We'll explore how these layers can be combined to create more powerful and effective AI systems.

Monolith: The Good, The Bad and The Ugly

Aggregated on: 2025-05-22 11:58:01

After an initial very warm welcome and a wave of hype, microservices are no longer considered a silver bullet for all software pitfalls. We, as a community of engineers, started to notice the significant complexity they introduced. The plain old monolith approach started to get mainstream attention once again. That is why, today, I would like to bring it and its different subtypes to your attention in more detail.

AI Speaks for the World... But Whose Humanity Does It Learn From?

Aggregated on: 2025-05-22 11:28:01

Generative AI models are widely celebrated for performing tasks that seem “close to human” — from answering complex questions to making moral judgments or simulating natural conversations. But this raises a critical question that is too often overlooked: