News Aggregator

Efficiently Reading Large Excel Files (Over 1 Million Rows) Using the Open-Source Sjxlsx Java API

Aggregated on: 2025-10-09 12:10:45

If you are a developer, regardless of the technologies you use, at some point, you will face the challenge of handling large Excel files. Most commonly, you will see the "out of memory" error when handling these files.

Theia Deep Dive, Part 2: Mastering Customization

Aggregated on: 2025-10-09 11:25:45

In the first part, we set up the basics: Theia runs in the browser, plugins work, themes and icons load, and we even added a splash screen. That gives us a functional IDE, but it’s still pretty close to stock. This part is about shaping it into our own product. We’ll start by stripping out what we don’t need, then adjust the UI and wire up contributions so the editor feels focused and intentional.

The Top 20 Problems With Batch Processing (and How to Fix Them With Data Streaming)

Aggregated on: 2025-10-08 19:25:45

Batch processing has long been the default approach for moving and transforming data in enterprise systems. It works on fixed schedules, processes data in large chunks, and often relies on complex chains of jobs that run overnight. While this was acceptable in the past, today’s digital businesses operate in real time — and can’t afford to wait hours for fresh insights. Delays, errors, and inconsistencies caused by batch workflows lead to poor decisions, missed opportunities, and growing operational costs. In this post, we’ll look at common issues with batch processing and show why data streaming is the modern alternative for fast, reliable, and scalable data infrastructure.

Strapi v5: Customization Nuances

Aggregated on: 2025-10-08 18:25:45

Strapi is an open-source headless CMS. The library allows integration with external databases, the implementation of custom controllers, and customization of the UI to match a project's branding. According to GitHub, around 30,000 developers use Strapi CMS in their projects. This article is primarily aimed at developers who work with or plan to integrate Strapi CMS into their applications.

Theia Deep Dive, Part 1: From Zero to Your Own IDE

Aggregated on: 2025-10-08 17:25:45

Intro: Why Build Your Own IDE? There are countless reasons to create your own IDE. Perhaps you are creating a sandbox similar to CodeSandbox, but adapted to your own framework. Or an Arduino-style environment where a strictly controlled user interface is required for flashing firmware and interacting with hardware. Maybe your SaaS product needs a built-in cloud editor. Maybe you're creating an educational platform where users should only see part of the code. Or you're releasing your own language or framework, and want the developer tools not to look like an add-on plugin. Or maybe you've decided to create your own Cursor with an AI assistant. Whatever your goal, creating your own IDE is more than possible. In this guide, I'll show you how to do it with Eclipse Theia: a fully modular, open-source platform designed to adapt to your needs.

Converting ActiveMQ to Jakarta (Part III: Final)

Aggregated on: 2025-10-08 16:25:45

Advanced Technical Approach Some Java frameworks have taken on the complexity of supporting both javax and jakarta package namespaces simultaneously. This approach makes sense for frameworks and platform services, such as Jetty and ActiveMQ, where the core development team needs to move the code base forward to support newer JDKs, while also providing a way for application developers to adopt Jakarta EE gradually. This simplifies the support for open-source frameworks, as there are fewer releases to manage, and in the event of a security bug, being able to release one mainline branch vs having to go back and backport across past versions. However, supporting both javax and jakarta namespaces simultaneously in a single application is complicated and time-consuming. Additionally, it opens additional scenarios that may lead to errors and security gaps for enterprise applications. This limits the ability to set up verification checks and source code scanning to block pre-Jakarta libraries from being used or accidentally pulled in through transitive dependencies. It creates a lot of ambiguity and reduces the effectiveness of DevOps teams in providing pre-approved SDKs to be used by enterprise developers. With the pitfalls outweighing the benefits, enterprise projects should not need to support both javax and jakarta namespaces simultaneously in most scenarios.

Transforming Your Node.js REST API into an AI-Ready MCP Server

Aggregated on: 2025-10-08 15:25:45

The evolution of large language models (LLMs) and agentic AI requires a fundamental shift in how applications expose their capabilities. Traditional REST APIs are designed for software-to-software communication, requiring developers to read documentation and write custom integration code. The Model Context Protocol (MCP) is an open standard designed to solve this by creating a unified, machine-readable interface that AI agents can dynamically discover and interact with. This article provides a comprehensive guide on converting an existing Node.js REST API into an MCP server using the official TypeScript SDK, focusing on the architectural changes and crucial use cases that this conversion unlocks.

When Offline Still Matters: Why Some Mobile Apps Work Without Wi-Fi — and Others Don’t

Aggregated on: 2025-10-08 14:25:45

Ever been stranded with no Wi-Fi and suddenly discover that your go-to app is useless? You're sitting on a delayed flight, stuck in the middle of a subway tunnel commute, or out camping in some serene spot (but signal-less), and you fire up that one app you use every day, only to be greeted by an error message. "No internet connection." Brilliant.

Golden Paths in IDPs: From Developer Chaos to Clarity

Aggregated on: 2025-10-08 13:25:45

A new team spins up a service. They wire together a CI pipeline, stitch in some Terraform for infrastructure, and maybe — remember to add monitoring. Another team does the same, but with different tools, different conventions, and different assumptions. Fast forward a few months, and what was once a fast-moving engineering org is now struggling with undocumented know-how, snowflake pipelines, and production incidents caused by inconsistent practices. Developers spend more time debugging environments than delivering features. Platform teams are stuck firefighting, trying to enforce standards that retroactively were never embedded in the first place.

8 Challenges in Multimodal Training Data Creation

Aggregated on: 2025-10-08 12:25:45

Multimodal AI processes multiple forms of data, like images, sounds, and words, all at once, to empower your applications to not just listen to our voice or read text but also pick up facial expressions and the details around us. This technology is rapidly making our daily interactions easier and natural, and when using applications with which you can communicate, it feels almost as if you are chatting with your friends. The first multimodal large language model that handled both text and images effectively was GPT-4 in 2023. The most recent multimodal model, GPT-4o Vision, is equipped to create interactions that are incredibly lifelike.

The Agile AI Manifesto

Aggregated on: 2025-10-08 11:25:45

TL;DR: The Agile Manifesto Predicted AI The Agile world is splitting into two camps: Those convinced AI will automate practitioners out of existence, and those dismissing it as another crypto-level fad. Both are wrong. The evidence reveals something far more interesting and urgent: Principles written in 2001, before anyone imagined GPT-Whatever, align remarkably well with the most transformative technology of recent years. This is not a coincidence. I believe it is proof that human-centric values transcend technological disruption; it is the Agile AI Manifesto. The Broken Debate Walk into any Agile community event today, and you will encounter two opposing camps, each equally confident and equally wrong:

Pattern Searching and PostgreSQL Full-Text Search: Understanding the Mismatch

Aggregated on: 2025-10-07 19:25:45

A while ago, a request emerged to implement a global find functionality in one of our products. Briefly, the purpose was to be able to search for multiple (different) entities by a pattern that is looked up and matched against several of their attributes. Not very complicated at first glance, such a feature comes with a lot of concerns and trade-offs that need to be analyzed, in addition to the implementation itself, in order to ensure at least a pleasant user experience. As the underlying database was PostgreSQL and I was aware of its powerful full-text search (FTS) capability, I considered it a potentially good candidate, so I started researching it, trying things out, aiming to compile the solution around it. Unfortunately for the requirement, but fortunately for me and for the interesting FTS capabilities I became aware of during this study, a few hours later, I understood why it cannot be used for pattern searching.

Building Cost-Effective Internet Scale Applications

Aggregated on: 2025-10-07 18:25:44

As developers, it is important that when we build an application, we design keeping both its targeted scale and the cost of running it in mind. If we are building an internet-scale application that could start from zero traffic on day one and gradually achieve a scale of millions of daily users, we have to choose a design and set of tools that can scale in a similar fashion. This is easier said than done. Developers usually over-provision in anticipation of higher traffic and end up paying larger costs than they could have managed without. Following an appropriate design and the right choice of technologies can make a huge difference. In this article we will take a look at various serverless technologies offered by cloud providers and focus on AWS as a reference to discuss how we can build a fairly common kind of application which involve front end, backend and a database that could be blazingly fast, while if designed well could cost you zero in your monthly bill to start with and eventually scale as your user base scales.

Why Incomplete Documentation Is a Security Vulnerability in SaaS

Aggregated on: 2025-10-07 17:25:44

Many SaaS teams pay more attention to encryption, firewalls, and compliance checks. They often overlook an essential asset: documentation. Documentations may not be as exciting as a new firewall or security tool. However, unclear, outdated, or incomplete setup guides, API references, and internal runbooks can lead to security gaps.

Building a Production-Ready Conversational AI Agent With Cloudflare Workers and AI Gateway

Aggregated on: 2025-10-07 16:25:44

Conversational AI is fundamentally transforming customer support, delivering instant, context-aware responses at a massive scale. With the global conversational AI market projected to reach $32.6 billion by 2030, growing at a CAGR of 23.6%, developers need efficient ways to deploy these powerful tools. Edge computing platforms like Cloudflare Workers and AI Gateway provide the ideal solution, enabling the deployment of low-latency, serverless AI agents without the complexity of managing infrastructure. This tutorial provides a comprehensive guide to building a production-ready chatbot. We will use Cloudflare Workers for the serverless backend, AI Gateway to manage and route model inference, and Tailwind CSS for a clean, responsive frontend. The result is a context-aware customer support agent powered by a high-performance large language model like Llama 3.1.

Dynamization of Static Data Structures

Aggregated on: 2025-10-07 15:25:44

Most of us in software engineering have been there. You design a static data structure that supports blazing-fast queries for counting elements, searching patterns, or similar tasks. However, the moment you need to support insertions, performance collapses because rebuilding from scratch after every update is too slow. If you're lucky, you might find (or invent!) a different data structure which:

Master Developer Writing: From Docs and Pull Requests to Blog Posts

Aggregated on: 2025-10-07 14:25:44

Developers are natural problem-solvers. We think in systems, patterns, and code. But one of the most underrated skills in a developer's toolkit has nothing to do with code; it’s writing. According to Atlassian’s 2025 State of DevEx report, developers lose an average of six hours per week due to poor documentation and organizational inefficiencies. That’s despite AI helping with productivity. The real bottleneck? Communication. Whether it’s in documentation, pull requests (PRs), or blog posts, writing well accelerates engineering velocity and makes teams better.

Booleans vs Integers in Databases: Understanding the Trade-Offs

Aggregated on: 2025-10-07 13:25:44

When designing a database, developers often encounter a seemingly simple decision: Should we use a boolean or an integer to represent a (decision) field? While the difference might seem trivial at first, the choice can have significant implications for storage, maintainability, and scalability. Let’s explore the pros and cons of each approach, with a focus on storage size, operational overhead, and long-term maintainability. Booleans: The Simple, Binary Option Initial Design A boolean field is ideal when a value can only have two states: true or false. For example, fields like isActive or isAdmin fit perfectly into that. Here’s a typical example:

Smart Choices Between Inter- and Intra-GPU Communication

Aggregated on: 2025-10-07 12:25:44

Why the Way GPUs Talk to Each Other Matters Imagine you’re back in school, working on a group project. Everyone in the group is smart and capable, but the project keeps dragging. Not because people don’t know the answers, but because they waste time passing notes around or waiting for someone else to finish. That’s exactly what happens with GPUs. These processors are incredibly powerful, but the way they communicate — both inside a single GPU and across multiple GPUs — determines whether your workload flies or crawls. Prerequisites: The Building Blocks Before we get into how GPUs share data, let’s cover the key pieces you need to understand.

Who Governs Your NHIs? The Challenge of Defining Ownership in Modern Enterprise IT

Aggregated on: 2025-10-07 11:25:44

"Ownership" is one of the harder concepts to define in the modern enterprise. This feels deceptive because, from a personal and human level, ownership is a rather straightforward concept. When you own something as a person, like your car or your house, you control it completely, and you're accountable when things go wrong. Ownership means something fundamentally different for individuals than it does for enterprises, especially when we're talking about non-human identities (NHIs).

Playwright for Real-Time Applications: Testing WebSockets and Live Data Streams

Aggregated on: 2025-10-06 19:25:44

Real-time applications are everywhere these days. From chat apps to stock dashboards and collaborative tools, users expect instant feedback. If you’ve ever tried to test these apps, you know the challenge: traditional automation just doesn’t cut it. The page doesn’t reload, elements appear and disappear unpredictably, and multiple users can interact simultaneously.

Hyperparameter Tuning and Feature Engineering: A Guide to Optimizing Machine Learning Models

Aggregated on: 2025-10-06 18:25:44

Unlocking maximum performance from machine learning (ML) models rarely comes down to modeling choices alone. Far more often, excellence rests on how well one tunes hyperparameters and how deftly one engineers features. These processes-the quiet backbone of practical machine learning-are where the gap between acceptable and outstanding results is made or lost. This guide explores actionable strategies and decision frameworks for both, showing experienced developers and ML leads how targeted optimization can drive tangible business outcomes. Why Model Optimization Matters: Impact on Outcomes Building a machine learning model is relatively straightforward. Ensuring that the model is reliable, performant, and cost-effective in real-world environments is not. Under-optimized models carry hidden costs: wasted compute, poor user experience, biased or unstable predictions, and missed commercial opportunities. In production, these issues can translate to direct business losses or negative user impact.