News Aggregator

Designing Data Pipelines for Real-World Systems: A Guide to Cleaning and Validating Messy Data

Aggregated on: 2025-08-13 18:14:37

Many software systems involve processing a large volume of customer data every day. Access to customer data demands careful handling and responsibility. Maintaining data integrity is of utmost importance, particularly in highly regulated spaces where accurate data is necessary to deliver the highest standard of output. Additionally, since any data-driven decision is only as accurate as the data it’s based on, clean data is key to making well-informed business decisions. This guide dives into how we can sanitize raw data so it remains consistent, clean, and accurate within our own organizations.

Migrating from Monolith to Microservices Using PHP: A Step-by-Step Guide

Aggregated on: 2025-08-13 17:14:37

As businesses scale, monolithic architectures often start to crack under pressure. What once seemed like a simple, all-in-one structure turns into a bottleneck. The results? Slow down releases, complicated bug fixes, and making even minor updates feel risky.

I Vibe Coded a PC Builder Tool Using Grok AI: Here’s What I Learned Along the Way

Aggregated on: 2025-08-13 16:14:37

I'm sure you've heard of AI, and its sidekick: vibe coding. Yeah, it's a thing right now. The question is: Are you using it to create solutions to real-world problems and get paid for the value you provide? This is the story of how I leveraged the power of Grok AI and vibe coded my dream app: a PC Builder tool. Back in October 2021, I needed to build a tool that helps ordinary people build a PC without thinking of the technicalities involved. I had a blog I started in 2018, built around the PC hardware niche, and the traffic was failing (thanks to Google's incessant updates).

From Red to Resolution: How I Used AI to Diagnose and Recommend Fixes for Flaky Tests

Aggregated on: 2025-08-13 15:14:37

Introduction: The Flaky-Test Dilemma Nothing interrupts a CI/CD pipeline quite like an intermittent test failure. Over time, these “flaky” tests erode confidence in automation and become a drag on velocity. Industry data confirms the pain: a 2023 survey found that flaky tests account for nearly 5% of all test failures, costing organizations up to 2% of total development time each month [1]. When tests that once guarded quality instead generate noise, developers learn to ignore failures, and genuine defects can slip through unnoticed.

Software Security Treat or Threat? Leveraging SBOMs to Control Your Supply Chain Chaos [Infographic]

Aggregated on: 2025-08-13 14:59:37

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Software Supply Chain Security: Enhancing Trust and Resilience Across the Software Development Lifecycle. Software supply chain security is on the rise as systems advance and hackers level up their tactics. Gone are the days of fragmented security checkpoints and analyzing small pieces of the larger software security puzzle. Now, software bills of materials (SBOMs) are becoming the required norm instead of an afterthought. So the question is: Are supply chains and SBOMs a sweet pairing or a sticky solution?

Creating Serverless Applications With AWS Lambda: A Step-by-Step Guide

Aggregated on: 2025-08-13 14:14:37

Serverless architecture has reshaped application development by eliminating the need for direct infrastructure management, allowing developers to focus purely on writing and deploying code. AWS Lambda, one of the most widely used serverless computing services, lets you run backend code without provisioning servers. This tutorial will guide you through creating a simple serverless application using AWS Lambda and API Gateway. What Is Serverless Computing? Serverless computing allows your code to execute in response to events such as HTTP requests or file uploads, without the need to manage servers. With AWS Lambda, you are billed only for the time your code actually runs.

How to Know an Autonomous Driver Is Safe and Reliable?

Aggregated on: 2025-08-13 13:14:37

The race to deploy fully autonomous vehicles (AVs) is accelerating. Waymo has already reached over 250k trips per week while Tesla and Zoox are ramping up. The key question for scaling is not “Can AVs drive?” but “How to know AVs are safe and reliable at scale?” As developers, we live by a simple creed: if it’s not tested, it’s broken. We write unit tests, integration tests, and end-to-end tests to gain confidence. But what happens when the 'test environment' is the unpredictable chaos of a public road, where an edge case can have severe repercussions?

Orchestrating Multi-Agents: Unifying Fragmented Tools into Coordinated Workflows

Aggregated on: 2025-08-13 12:14:37

Fragmented Tools Development teams are deploying specialized AI tools across different vendors, architectures, and environments. These tools exist in silos, creating operational complexity and limiting their collective potential. As AI adoption accelerates and the number of deployed agents multiplies, a new challenge emerges: how do we coordinate these specialized tools to work together effectively?

Secure Private Connectivity Between VMware and Object Storage: An Enterprise Architecture Guide

Aggregated on: 2025-08-13 11:29:37

As an architect, security is the first thing that comes to mind when defining an architecture for a customer. One of the key things that you need to keep in mind is minimizing the network traffic routed through the public internet. This article discusses how to bring private connectivity to cloud services, working with compute platforms like VMware on Cloud. Modern cloud architecture follows a "defense-in-depth" philosophy where network isolation forms the foundational security layer. Public internet exposure creates unacceptable risks for enterprise workloads handling sensitive data, financial transactions, or regulated content. Private connectivity addresses this by implementing a critical architectural principle: Zero Trust Network Access (ZTNA).

Building a Scalable GenAI Architecture for FinTech Workflows

Aggregated on: 2025-08-12 20:14:36

Generative AI (GenAI) is rapidly transforming the financial services landscape. According to McKinsey, GenAI could unlock up to $340 billion in annual cost savings and productivity gains across the global banking sector. With this momentum, forward looking fintech leaders are embedding GenAI into critical workflows ranging from customer onboarding and credit decisioning to fraud detection and compliance. This article provides a practical architecture guide to help technology leaders adopt GenAI safely, effectively, and at scale. Why GenAI Matters for Financial Services Financial institutions are under constant pressure to operate faster, smarter, and leaner. GenAI provides a strategic edge by:

Implementing iOS Accessibility: A Developer's Practical Guide

Aggregated on: 2025-08-12 19:29:36

We iOS developers often spend weeks or even months building a well-crafted app with smooth animations, clever features, and polished UI down to the pixel. But there's one thing that gets often overlooked in the race to ship, and that's accessibility. It can help transform an already great app into something inclusive and exceptional. Supporting accessibility can sound like a nice-to-have; it's not just about helping people with disabilities (though that in itself is a good enough reason), but it's about building apps that everyone can use comfortably, regardless of how they interact with their device. Also, it's not that hard to implement, especially on iOS.

Real-Time Recommendations Powered by Spanner, BigQuery, and Vector Embeddings

Aggregated on: 2025-08-12 18:29:36

Product recommendation systems are an integral part of a wide range of industries like e-commerce, retail, media and entertainment, financial services, etc. Product recommendation is crucial for both providers and consumers as it improves the overall consumer experience and increases sales. Businesses collect and analyze a ton of consumer usage and behavior data to optimize their recommendations for purchase and user satisfaction. They strive to deliver these recommendations as soon as possible with the most up-to-date insights. Delays in showing relevant recommendations can result in lost sales and a bad experience for the consumer.

Deploying Real-Time Machine Learning Models in Serverless Architectures: Balancing Latency, Cost, and Performance

Aggregated on: 2025-08-12 17:29:36

Machine learning (ML) is becoming more and more important in real-time applications such as fraud detection and personalized recommendations. Due to their scaling capacity and the elimination of workload on infrastructure management, these applications are highly attractive for deployment in serverless computing. However, deploying ML models to serverless environments has unique challenges with latency, cost, and performance. In this article, we will describe these problems and provide a solution that makes it possible to successfully deploy real-time ML models into the serverless architecture.

Declarative Pipelines in Apache Spark 4.0

Aggregated on: 2025-08-12 16:29:36

The landscape of big data processing is constantly evolving, with data engineers and data scientists continually seeking more efficient and intuitive ways to manage complex data workflows. While Apache Spark has long been the cornerstone for large-scale data processing, the construction and maintenance of intricate data pipelines can still present significant operational overhead. Databricks, a key contributor to Apache Spark 4.0, recently addressed this challenge head-on by open-sourcing its core declarative ETL framework. This new framework extends the benefits of declarative programming from individual queries to entire data pipelines, offering a compelling approach for building robust and maintainable data solutions. The Shift From Imperative to Declarative: A Paradigm for Simplification For years, data professionals have leveraged Spark's powerful APIs (Scala, Python, SQL) to imperatively define data transformations. In an imperative model, you explicitly dictate how each step of your data processing should occur.

Scaling Playwright Test Automation: A Practical Framework Guide

Aggregated on: 2025-08-12 15:29:36

As web applications become increasingly dynamic and feature-rich, the complexity of ensuring their quality rises just as fast. Playwright has emerged as a powerful end-to-end testing tool, supporting modern browsers and offering capabilities like auto-waiting, multi-browser testing, and network interception. But writing isolated test cases is only a small part of successful automation. To support maintainability, collaboration, and long-term scalability, a structured test automation framework is essential.

Migrating Legacy VB6 Applications to Modern Platforms

Aggregated on: 2025-08-12 14:29:36

Many enterprises still run mission-critical systems written in Visual Basic 6.0 (VB6), a language whose support ended in 2008. This leaves them maintaining “legacy hell” environments: no patches, mounting security vulnerabilities, and shrinking expertise. For example, Stride reports that in nearly 40% of VB systems, the original source code is lost (developers retired, docs missing), and crucial logic is buried in decades-old stored procedures. These systems become compliance liabilities and block innovation. Modernizing them, by migrating to platforms like .NET or Java, reclaims value and future-proofs the software. Migrating VB6 is a major undertaking. Architects must choose between a pure rewrite, automated conversion, or a hybrid approach. We’ll explore real-world strategies, tools, and best practices for an architect facing a VB6 modernization project. The journey involves deep analysis of the legacy code, phased refactoring, extensive testing, and careful re-architecting into modular services.

Architecture Lessons from Two Digital Transformations

Aggregated on: 2025-08-12 13:14:36

I have been fortunate to lead not just one, but two digital transformation projects as an Architect. And I would say I got lucky under many different counts. First piece of luck – one of the projects was a failure! How can that be lucky you ask? Read on.

Scoped Values: Revolutionizing Java Context Management

Aggregated on: 2025-08-12 12:14:36

In an application meant for concurrent execution need of sharing data (or context) between threads is imperative. The available design choices are to pass the context as method parameter(s) or enable the context to be universally accessible (viz. global variable or equivalent). While former choice (i.e. context as method argument) is easiest it doesn’t scale well. As the application evolves, the context too grows and thus the method parameters. Moreover, the method is required to accept parameters which aren’t utilized by itself directly but instead some method deep down the call hierarchy. Thus, overall data flow isn’t clean or intuitive. In case the context is mutable any of the callee potentially could corrupt the context. Identifying this rouge behavior is unpleasant at best.

Do You Understand the Debt You Have to Pay?

Aggregated on: 2025-08-12 11:14:36

I was fortunate to start my career with people who truly cared about code quality. Early on, I learned why this matters and how continuous attention to quality positively impacts customer satisfaction. This experience made it natural for me to improve legacy code and constantly seek further enhancements. However, at the beginning of my journey, my perspective was narrow—I saw only the code. So, my efforts focused solely on refactoring. Fast forward to today, I've learned that there are many more ways to improve software. There are also several strategies you can explore to choose the right approach for your situation.

AWS Step Functions IDE Extension: A Game Changer, but What’s Next?

Aggregated on: 2025-08-11 20:29:37

If you’ve ever worked with AWS Step Functions, you know the struggle. Debugging workflows locally? A nightmare. Testing small changes? Deploy, wait, check logs, repeat. The experience has been far from smooth — until now. AWS just launched a Step Functions extension for VSCode, and it’s a huge step forward. But as great as this update is, one big question remains: why is this limited to VSCode? What about IntelliJ, Eclipse, and other IDEs?

Deploying a Scalable Golang Application on Kubernetes: A Practical Guide

Aggregated on: 2025-08-11 19:29:36

Golang is the finest programming language for constructing applications that can scale well and at high density due to the concurrency and performance inherent in the language itself. Kubernetes is the best standard for container orchestration, which gives a platform for deploying, managing, and scaling applications. Together, they constitute a formidable pair for creating unobtrusive and bulletproof microservices. This blog will lead readers through the process of deploying a scalable Golang application on Kubernetes, highlighting essential considerations alongside the more practical 'doing it' steps.

Development of System Configuration Management: Introduction

Aggregated on: 2025-08-11 18:14:36

Series Overview This article is part 1 of a multi-part series: "Development of system configuration management." The complete series:

Data Mesh Security: How to Protect Decentralized Data Architectures

Aggregated on: 2025-08-11 17:14:36

The rise of data mesh architectures redefines how modern organizations have approached the concept of data security. Standard best practices dictate that data should be centralized, allowing it to be collected, stored, and governed within monolithic systems, such as data warehouses. enabled centralized access control, governance, and 'auditability'. The data mesh model, however, disrupts this architecture and decentralizes data ownership. Now, instead of a centralized team governing data access, data mesh empowers domain-oriented teams to treat data as a product, allowing them to manage it independently. While this new approach offers speed and flexibility, it also introduces serious data mesh security challenges.

Getting Started With Android UI Development With Jetpack Compose

Aggregated on: 2025-08-11 16:14:36

I was contacted by my friend Aditya last month with tremendous enthusiasm regarding a new Android feature he had discovered. "Mohit, you won't believe it! I just used Jetpack Compose and it's insane!" At first, I was like, "Whatever dude, another Google framework that will be obsolete next year." But then, Dan showed me his project, and frankly, I was kind of blown away. Why We Started Working With Jetpack Compose Aditya had been struggling with a dating app he was building using XML layouts for roughly six months. The UI would always get broken on different devices, and animations were a nightmare. Within two weeks of using Compose, he rewrote the entire thing, and it worked way better.

Designing Resilient Systems: What Every Engineering Manager Should Know

Aggregated on: 2025-08-11 15:14:36

Introduction: Why Resiliency Matters If you've ever launched a major feature, only to watch it spectacularly break under pressure, you know exactly why resiliency matters. As a Software Development Manager (SDM) at Amazon, I've been on the front lines of creating systems that handle real-world chaos gracefully. Let's talk resiliency — focusing on critical architectural patterns in plain language: Retries, Circuit Breakers, and Bulkheads.

DSPy Framework: A Comprehensive Technical Guide With Executable Examples

Aggregated on: 2025-08-11 14:14:36

Building AI applications today needs the crafting of each prompt carefully balanced, but one small change can bring the whole system crashing down. Traditional prompt engineering is brittle, unpredictable, and exhausting to maintain. That’s where DSPy (Declarative Self-improving Python) comes in. Developed by Stanford NLP researchers, DSPy takes a totally different approach. Instead of manually tweaking prompts and hoping for the best, it treats language models as programmable components like any other part of your software stack. With DSPy, you declare what you want your AI to do, not how to prompt it. The framework then automatically optimizes prompts, handles errors gracefully, and ensures reliable outputs, all while letting you focus on the bigger picture.

How to Set Up Selenium Grid 4 With Docker Compose

Aggregated on: 2025-08-11 13:29:36

Selenium WebDriver is a popular web automation tool. It automates browsers and enables software teams to perform web automation testing across multiple popular browsers, including Google Chrome, Mozilla Firefox, Microsoft Edge, and Safari. To scale this testing across different platforms and browser versions, Selenium Grid 4 can be utilized. It works seamlessly with Selenium WebDriver, allowing tests to run in parallel across different browsers, making cross-browser and cross-platform testing faster and efficient.

Testing Approaches for Java Enterprise Applications With Jakarta NoSQL and Jakarta Data

Aggregated on: 2025-08-11 12:29:36

When discussing software development and its history, we often hear quotes emphasizing the importance of testing; however, in practice, we usually prioritize it as the last step, perhaps ahead of documentation. Without proper testing, ensuring the quality of your software is nearly impossible. Tests work as a safety certification, catching issues early and ensuring that your software behaves as expected. Despite their clear advantages — improved code quality, easier refactoring, and better adaptability for future changes — tests are often neglected. The reality is that testing is a long-term investment, and many software engineers and tech leaders tend to underestimate its importance. This article aims to highlight why testing should be an integral part of your development workflow, particularly when working with Jakarta EE.

The Immune System of Software: Can Biology Illuminate Testing?

Aggregated on: 2025-08-11 11:29:36

"It is one of the philosophical enigmas of immunity that the self exists largely in the negative — as holes in the recognition of the foreign." — Siddhartha Mukherjee, The Song of the Cell In biology, the immune system is not simply a defence mechanism. It is a highly sophisticated, adaptive intelligence system that defines the organism by what it does not attack. In other words, immunity is not only about fighting pathogens; it is also about recognizing what to ignore. This paradox — that the self is defined by its invisibility to immune detection — offers profound insight, not just in biology but also in systems engineering, particularly software testing.

Agentic AI vs Traditional AI Agents: What Makes Them Autonomous?

Aggregated on: 2025-08-08 20:14:34

Artificial intelligence has developed, and the appearance of agentic artificial intelligence is a significant turning point. Unlike conventional AI agents, which depend too much on human cues, agentic AI systems (such as OpenAI’s Auto-GPT 3.0, Google’s Gemini Pro 1.5, and Meta’s LLaMA 3) demonstrate autonomy, initiative, and adaptive decision-making. This blog post examines how agentic AI differs from traditional agents, what innovations are leading the transformation, and what this means for the world of automation and work.

LangGraph Orchestrator Agents: Streamlining AI Workflow Automation

Aggregated on: 2025-08-08 19:14:34

In AI-driven applications, complex tasks often require breaking down into multiple subtasks. However, the exact subtasks cannot be predetermined in many real-world scenarios. For instance, in automated code generation, the number of files to be modified and the specific changes needed depend entirely on the given request. Traditional parallelized workflows struggle unpredictably, requiring tasks to be predefined upfront. This rigidity limits the adaptability of AI systems. However, the Orchestrator-Workers Workflow Agents in LangGraph introduce a more flexible and intelligent approach to address this challenge. Instead of relying on static task definitions, a central orchestrator LLM dynamically analyses the input, determines the required subtasks, and delegates them to specialized worker LLMs. The orchestrator then collects and synthesizes the outputs, ensuring a cohesive final result. These GenAI services enable real-time decision-making, adaptive task management, and higher accuracy, ensuring that complex workflows are handled with smarter agility and precision.

The Adaptive Modular Monolith Concept

Aggregated on: 2025-08-08 18:14:34

The Modular Monolith architecture is reshaping how software systems are built and evolved. Although splitting modules into independent microservices typically requires significant efforts - such as repackaging, redeployment, and reconfiguration - an ideal architecture would allow modules to be spun off as independent services effortlessly, without these manual steps. This capability distinguishes the Adaptive Modular Monolith concept from both traditional monoliths and microservices, providing a seamless, evolutionary path from simple development to scalable, flexible architectures on demand. It would enable starting with a unified, modular application and later extracting modules as standalone services with minimal overhead, combining the benefits of both monoliths and microservices in one system.

State Machines Behind the Scenes of Flight Booking and Payments

Aggregated on: 2025-08-08 17:14:34

Modern flight booking and payment systems are composed of numerous steps spanning multiple services. For example, an airline booking might involve one service to reserve a seat, another to process payment, and a third to issue the ticket (confirm the seat). All these steps must succeed to complete the booking; if any step fails, the prior steps’ effects should be undone to avoid inconsistencies. In a monolithic system, a single ACID transaction might handle this. But in a distributed microservices architecture, no single transaction can easily encompass seat inventory and payment across systems. As one article notes, in a flight booking scenario, a seat-reservation microservice cannot acquire a lock on the payment database (often an external service), so a different approach to transaction management is required – one that embraces loose coupling and eventual consistency . This is where state machines and the saga pattern come into play. A state machine models a process as a series of discrete states and transitions in response to events. We can define states corresponding to each stage of booking (seat selection, fare held, payment processing, ticket issued, etc.) and transitions triggered by events like “payment successful” or “seat hold expired.” For example, a travel booking flow might have states such as Booking Flight, Booking Hotel, Booking Car, Confirmation, and Error. Events then drive transitions between these states: e.g. a Flight booked event moves from Booking Flight to the next state, whereas a Flight booking failed event transitions to an Error state. Time-based events like Fare hold timeout are also part of the model . By enumerating all success and failure events (including timeouts), engineers can explicitly capture how the system should react at each step, ensuring no outcome is overlooked.

API Testing With Playwright: A Guide for QA Engineers and Developers

Aggregated on: 2025-08-08 16:14:34

Ensuring the quality and reliability of backend services through API testing is as crucial as testing the user interface. APIs act as the backbone for data exchange between different components and systems. Without robust API tests, defects can propagate unnoticed, leading to faulty features and unhappy users. Playwright, widely acclaimed as a next-generation browser automation framework, extends its capabilities beyond UI testing to support comprehensive API testing. By leveraging Playwright for API testing, QA engineers and developers benefit from a unified framework that seamlessly integrates API and UI tests. This article explores how to effectively use Playwright for API testing—from basics to advanced techniques—while offering practical advice and real-world examples.

Boosting Algorithms Demystified: A Deep Dive into XGBoost With Code and Explanation

Aggregated on: 2025-08-08 15:29:34

Boosting algorithms have become a staple in the machine learning world, particularly for structured/tabular data. Among these, XGBoost (Extreme Gradient Boosting) stands out as one of the most widely used and effective techniques. From winning Kaggle competitions to production-level applications, XGBoost consistently delivers top-tier performance. This post aims to provide a comprehensive and technically detailed exploration of boosting, focusing specifically on XGBoost, complete with concepts, practical insights, and experimental strategies. The Foundation: What Is Boosting? Boosting is an ensemble technique designed to convert a set of weak learners into a strong one. It builds models sequentially, each new model attempting to correct the errors made by the previous ones. The core idea is not just averaging predictions (like bagging) but optimizing the overall model by learning from residuals or gradients.

Designing Secure APIs: A Developer’s Guide to Authentication, Rate Limiting, and Data Validation

Aggregated on: 2025-08-08 14:29:34

APIs have emerged as the cement of the contemporary application. APIs are at the heart of the movement of data, and the interaction of systems, whether in the form of mobile apps and web frontends or microservices and third-party integrations. However, along with this omnipresence there is exposure. Malicious actors will usually start with APIs to exploit low-security authentication, rate-limit bypass, and malicious payload injection. This article will examine some of the most important concepts that developers should use to create secure APIs; namely authentication, rate limiting, and input validation. Authentication: Controlling Access at the Door Authentication defines who can access your API and improper authentication is one of the most frequent reasons of data leakage. Although internal API use cases continue to use static API keys, newer systems are using tokens to provide more granular and scalable control, e.g. JWT (JSON Web Tokens) or OAuth2.

CSS Hide and Seek: Choosing Between display: none and visibility: hidden

Aggregated on: 2025-08-08 13:29:34

When it comes to hiding elements in CSS, developers often face a fundamental choice: should they use display: none or visibility: hidden? While both properties can make elements disappear from view, they behave very differently under the hood. Understanding these differences is crucial for creating efficient, accessible, and maintainable web applications. The Core Difference The primary distinction between display: none and visibility: hidden lies in how they affect the document flow and layout:

VB6 vs. C#: How to Migrate and Modernize Your Legacy Code

Aggregated on: 2025-08-08 12:29:34

Introduction to VB6 and C#: Why Modernization Matters Visual Basic 6 (VB6) was once a popular choice for Windows application development. However, as technology evolved, VB6 became outdated, with Microsoft officially ending support in 2008. Today, businesses relying on VB6 applications face increasing security risks, compatibility issues, and maintenance challenges. In contrast, C#—a modern, object-oriented programming language developed by Microsoft—offers significant advantages, including enhanced security, cross-platform compatibility, and seamless integration with modern technologies like cloud computing and microservices.

Databricks DBRX vs OpenAI GPT-4o vs Claude 3: Which LLM Is Best for Enterprise Use Cases?

Aggregated on: 2025-08-08 11:29:34

Enterprise AI has been shaped in new ways due to the fast development of large language models (LLMs). More companies are starting to use these models to enhance their approach to workflow, improve automated communication, make analyzing data easier, and develop smart applications. There are three leading language models in this fast-changing environment. Databricks DBRX, OpenAI’s GPT-4, and Anthropic’s Claude 3. Every model offers a separate solution to the needs of enterprises with open-source flexibility, multi-modality, or ethical consideration. Databricks DBRX: The Open-Source Powerhouse Databricks’ DBRX gives businesses a chance to manage and adapt their infrastructure more effectively. Only a part of its parameters are used for making inferences, so inference becomes quick and efficient. This is possible because of the design, which ensures it is very precise and smooth. DBRX has gained recognition for being open-source, giving users a chance to modify and edit the model they download for free. You may install the model in either the company’s private cloud or on their servers, which helps it to comply with their security protocols. Furthermore, using the Databricks Data Intelligence Platform allows companies to scale their use of LLM models easily and make sure they are properly managed and used. Those who have their data and systems internally can use DBRX to guarantee both transparency and excellent results.

Exploring C++23: Multidimensional Subscript Operator

Aggregated on: 2025-08-07 20:29:34

C++23, the latest iteration of the C++ programming language standard, brings a plethora of exciting features and improvements to the table. Among these is the multidimensional subscript operator, a long-awaited addition that promises to simplify and enhance the way we interact with multidimensional arrays and containers. In this article, we'll delve into the world of multidimensional subscript operators, exploring their syntax, usage, and benefits. We'll also examine how this feature integrates with existing C++ constructs and what implications it has for our coding practices.

JWT Policy Enforcement, Rate Limiting, IP White Listing: Using Mulesoft, API Security, Cloudhub 2.0

Aggregated on: 2025-08-07 18:14:34

This tutorial is all about implementing JWT Policy Enforcement in API Manager using a sample RAML-based project. It's especially helpful when applying policies through the API Manager in the Anypoint Platform. Along the way, you’ll also learn how to secure a specific API endpoint using a third-party Auth Provider like Auth0. In this project, the following policies have been applied to enhance API security and traffic control:

Boost Your Coding Agent and Understand Its Reasoning with 3 Simple Prompts

Aggregated on: 2025-08-07 17:14:39

Use the custom prompts from this article and the linked repository to have the agent (1) plan, (2) implement, and (3) review any code before considering it complete. These are straightforward, proven client-side prompt engineering techniques. This approach consistently improves results, regardless of the LLM used.

Impact of Artificial Intelligence on Network Routers and Switches

Aggregated on: 2025-08-07 16:14:34

Disclaimer: Readers should not infer that Google is using or planning to use any of these technologies in its products or services. Introduction The ever-increasing demand for data-driven applications and services has placed pressure on networking infrastructures. As the primary source for data flow, network routers and switches play an important role in ensuring seamless communication, data management, and network reliability. Traditionally, these devices relied on static configurations and manual management, which often led to challenges in scalability, efficiency, and security. However, Artificial Intelligence (AI) is changing the domain of networking by introducing intelligent, autonomous, and adaptive capabilities to routers and switches.

Availability to Accountability: Running AI Workloads Responsibly in the Cloud

Aggregated on: 2025-08-07 15:14:34

AI exists everywhere, from personal assistants to autonomous systems, while the cloud serves as its fundamental foundation. The great power creates actual operational difficulties. The cloud enables the rapid growth of AI workloads because it serves as the main platform for hosting and training these systems at a large scale. The management of AI systems within cloud environments requires specific operational challenges. Engineers, together with architects, need to solve essential problems regarding system availability, reliability, observability, and responsibility. The following discussion examines these operational challenges and provides effective solutions to address them. Availability: More Than Just Compute Power The compute-intensive nature of AI workloads necessitates dedicated cluster groups (DCGs) to ensure performance. The clusters need to stay within the same proximity group to reduce latency, thus preventing multi-region distribution. The financial limitations often determine cluster dimensions, which leads to reduced scalability when demand increases. The process of cluster provisioning and updates becomes difficult because of worldwide hardware shortages. The process of identifying availability problems remains difficult to accomplish. The absence of built-in diagnostic tools and dependence on outside vendors leads to extended service disruptions. Cloud providers provide buffer capacity for demand increases, yet this capability requires additional expenses.

What the AI Coding Experience Senior Software Engineers Want

Aggregated on: 2025-08-07 14:14:34

AI coding assistants or editors, such as Cursor, Windsurf, Lovable, and GitHub Copilot, are transforming how developers write code. You can now turn an idea into a working app in minutes just by typing a few prompts. That’s exciting but also risky. Many new developers can now build features without really understanding how the code works. Can you trust what the AI writes? Will you or your team understand it later? In some cases, the AI is making big decisions about how the software architecture is built, not the developer. Usually, senior engineers do not jump straight into coding without considering domain knowledge, architecture, or code reusability. They know when a piece of code fits and when it doesn’t. To be useful for real projects, AI tools need to provide developers with more structure, control, and ways to test and trust what gets built.

Introduction to Data-Driven Testing With JUnit 5: A Guide to Efficient and Scalable Testing

Aggregated on: 2025-08-07 13:14:34

When discussing the history of software development, we can observe an increase in software complexity, characterized by more rules and conditions. When it comes to modern applications that rely heavily on databases, testing how the application interacts with its data becomes equally important. It is where data-driven testing plays a crucial role. Data-driven testing helps increase software quality by enabling tests with multiple data sets, which means the same test runs multiple times with different data inputs. Automating these tests also ensures scalability and repeatability across your test suite, reducing human error, boosting productivity, saving time, and guaranteeing that the same mistake doesn't happen twice.

How to Configure a Jenkins Job for a Maven Project

Aggregated on: 2025-08-07 12:14:33

Jenkins is a widely used automation server that plays a big role in modern software development. It helps teams streamline their continuous integration and continuous delivery (CI/CD) processes by automating tasks like building, testing, and deploying applications. One of the key strengths of Jenkins is its flexibility. It easily integrates with a wide range of tools and technologies, making it adaptable to different project needs.

Understanding Agentic AI: From Simple Chatbots to Autonomous Decision-Making Systems

Aggregated on: 2025-08-07 11:29:33

This comprehensive guide breaks down the concept using real-world examples and practical code implementations to help you understand the evolution from basic chatbots to sophisticated autonomous AI systems. The Evolution: From RAG to Agentic AI Stage 1: RAG-Based AI Systems Consider a company with 75+ employees needing an HR assistant to answer policy questions like "How many vacation days do I have per year?" or "What is the policy on sick leave?" The traditional approach involves building a retrieval-augmented generation (RAG) chatbot that pulls information from PDF policy documents and provides answers.

Cloud Sprawl Is a Given; Cloud Complexity Doesn’t Have to Be

Aggregated on: 2025-08-06 21:44:33

Less than a decade ago, most teams ran dev, staging, and production in a single cloud account. Today, that seems unimaginable. Now, you start your cloud journey with at least 10 AWS accounts. One for each environment: one for networking, one for logging, one for security, one for… you get the idea. And if you have multiple business units or products? Multiply all that by at least three.

Automating Node.js Deployments With a Custom CI/CD Server

Aggregated on: 2025-08-06 20:14:33

It is possible that managing and deploying Node.js applications can become a bottleneck as projects grow. Having a properly designed Continuous Integration and Continuous Deployment (CI/CD) pipeline can help reduce the burden of frequent updates, simplify dependency management, and eliminate the need for manual restart processes, thereby avoiding these bottlenecks. In this tutorial, we will create a custom CI/CD server that listens to GitHub webhook events and performs deployments using GitHub Actions, PM2, and shell scripting. This enables us to: