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AI features are becoming common in modern applications. If your Spring Boot app uses large language models (LLMs), it’s important to test how those models respond to real prompts. This helps you catch issues early and keeps your app reliable. In this article, you’ll learn how to write integration tests for AI prompts using Spring TestContainers and Ollama. You’ll see how to set up your environment, write prompt tests,...
If you’ve ever wanted to make a small game that runs in the browser, Phaser.js is a great place to start. It’s a simple JavaScript library that helps you build interactive 2-D games that you can play in the browser. In this guide, you’ll learn what P...
For this week's interview, I'm talking with Ankur Tyagi. He's a software engineer who's worked at multinational companies like Volvo, Barclays, and Accenture. He grew up in Pune, India and now lives in Gothenburg, Sweden. Ankur is a prolific contribu...
This guide walks us through the steps to implement Budget Policies and Budget Policy limits on Serverless Compute in Databricks to effectively and accurately compute the costs incurred for compute usage. This guide covers step by step process of the implementation on the data platform to monitor and account for the cost incurred effectively. Pre-Requisites Databricks Admin access to set policies, view usage, manage...
JavaScript continually evolves to address modern development needs. Its latest updates often reflect trends in functional programming and immutable data handling. Two upcoming additions to the language, Tuples and Records, aim to simplify immutability while enhancing efficiency and developer experience. This article delves into these new features, discussing their purpose, syntax, benefits, and use cases.
Series Overview This article is Part 2.3 of a multi-part series: "Development of system configuration management." The complete series:
Introduction: Why Agentic Systems Need MCP Model Context Protocol (MCP) is a standardized communication framework specifically designed to manage complex, stateful interactions between AI agents and backend infrastructure. If you've moved beyond simple LLM completions and are building agentic applications, you've likely experienced the complexity. An agent, unlike a basic chatbot, perceives, reasons, plans, and acts...
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Series reminder: This series explores how explainability in AI helps build trust, ensure accountability, and align with real-world needs, from foundational principles to practical use cases. Previously, in Part III:The Two Major Categories of Explainable AI Techniques. How XAI methods help open the black box.
Travis Oliphant, creator of NumPy and SciPy, joins Ryan to explore the development of Python as a data science tool, the evolution of these foundational libraries, and the importance of community and collaboration in open-source projects, including Travis’ current work to support sustainable open-source through the OpenTeams Incubator.
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Series Overview This article is Part 2.2 of a multi-part series: "Development of system configuration management." The complete series:
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Learn how GitHub Models helps open source maintainers automate repetitive tasks like issue triage, duplicate detection, and contributor onboarding — saving hours each week. The post How GitHub Models can help open source maintainers focus on what matters appeared first on The GitHub Blog.
Redis is a well known, open source, in-memory data store. By design, it prioritizes speed, making reads exceptionally faster. Most of us are familiar with various caching techniques such as Cache-Aside, Write-Through, Write-Behind, Read-Through etc.
Providing personalized experiences is key to engaging users and driving business growth. From e-commerce giants suggesting products you'll love to streaming services curating your next binge-watch, recommendation engines are at the heart of enhanced user engagement and satisfaction. Recommendation engines, powered by Artificial Intelligence (AI) and leveraging the power of Big Data, are at the forefront of this...
Learn how the Secret Protection engineering team collaborated with GitHub Copilot coding agent to expand validity check coverage. The post How we accelerated Secret Protection engineering with Copilot appeared first on The GitHub Blog.
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If you're like many data practitioners who use Snowflake, odds are you've had moments when your queries got slow… at precisely the time everyone was desperate to get answers fast. Or maybe your compute expenses were through the roof during peak times, leaving you wondering: "How do I make Snowflake faster and smarter without going broke?" I've been there. And after so many performance tuning sessions, trawling slow...
In trust and safety systems, the ability to access real-time signals — such as risk scores, policy flags, or enforcement states — is critical for preventing abuse and enabling secure, automated decision-making. These systems must ingest and expose high-volume data at low latency, often to serve machine learning models, rules engines, or enforcement workflows. Traditional database systems often fail to meet the...
Stack Overflow, born on the bare metal racks of a data center, ascends to the cloud.
Introduction: The Emergence Dilemma Emergent behaviour in agentic AI is quickly becoming one of the most intriguing phenomena in modern software systems. It refers to the way unexpected, often complex behaviours can arise from relatively simple components, especially when those components are allowed to interact in open-ended environments. In the case of language model-driven agents, we’re seeing systems that do far...
Marie and Chris jump on to discuss some of the trends of what people are building on CodePen here, approximately halfway through 2025. New CSS! Hot Styles Hot Pens Time Jumps
I constantly have thoughts buzzing in my head, and I need to throw them somewhere or they'll just fly away. So I thought I’d write a few articles about how our lives are becoming more like the movies and games we grew up with. Let’s get started. Today, let’s talk about security and all the issues that come with it. Do you remember that you always use a billion passwords to access your bank, your apps, your services,...
I've been coding for 40 years (started with 8-bit assembly in the 80s), and recently decided to properly test this "vibe coding" thing. I spent 2 weeks developing a Python project entirely through conversation with AI assistants (Claude 4, Gemini 2.5pro, GPT-4) - no direct code writing, just English instructions. I documented the entire experience - all 300+ exchanges - in this piece. I share specific examples of both...
A Quick Back‑Story It was 2a.m., the cluster dashboard was glowing red, and the only thing separating me from a full night’s sleep was a stray comma in a user‑supplied query.Spark had happily fired up a handful of executors before realising the SQL was garbage.Cue wasted compute, angry Slack pings, and a small dent in our budget. After the third “why is the job queue jammed again?” post‑mortem, I decided to build a...
Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report,Data Engineering: Scaling Intelligence With the Modern Data Stack. Data has evolved from a byproduct of business processes to a vital asset for innovation and strategic decision making, and even more so as AI's capabilities continue to advance and are integrated further into the fabric of software development. The...
In enterprise-grade Oracle environments—whether fully on-premises, hybrid, or actively transitioning to Oracle Cloud Infrastructure (OCI)—efficient storage management remains a mission-critical responsibility for database administrators (DBAs). One of the persistent challenges DBAs face is space wastage within tablespaces. Oracle allocates extents dynamically as segments grow, but does not automatically shrink...
The world of artificial intelligence moves fast. Every week, new models appear, older ones get better, and the tools to use them become easier. But if you are building a machine learning project, you may face one big problem: how to share your work q...
The Internet of Things (IoT) comprises smart devices connected to a network, sending and receiving large amounts of data to and from other devices, which generates a substantial amount of data to be processed and analyzed. Edge computing, a strategy for computing on location where data is collected or used, allows IoT data to be gathered and processed at the edge, rather than sending the data back to a data center or...
Series Overview This article is Part 2.1 of a multi-part series: "Development of system configuration management." The complete series:
The overall landscape of app development is continuing with a transformative shift that is driven by various latest technologies, including AI or artificial intelligence, edge computing, and blockchain. These innovations are enhancing the efficiency and functionality of the apps, catering to new layers of security, improving scalability, and enhancing the user experience. The use of the latest technologies is high...
Do you want to improve you JavaScript skills and create 3D web experiences? We just posted a course on the freeCodeCamp.org YouTube channel that is designed to help anyone master JavaScript and Three.js by building five impressive and practical proje...
Ten years ago, I wrote an article for DZone on The Future of IoT. When General Electric unveiled their digital twin technology for aircraft engines, we were on the cusp of an industrial revolution. The idea was compelling: create virtual replicas of physical assets that could be monitored, analyzed, and optimized in real-time. However, as many early IoT enthusiasts discovered, the gap between concept and widespread...
Are you an Engineering or Technology Leader who is looking up “what’s that file format”, while sitting in a meeting where they are throwing jargon about file formats? Are you an Architect who has switched domains only to discover that there is an entire jungle of file formats that you are unfamiliar with, and now need to integrate into the solution you are building?