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Artificial intelligence (AI) is becoming a core component in modern development pipelines. Every industry faces the same critical questions regarding the testing and securing of AI systems, which must account for their complexity, dynamic nature, and newly introduced risks. The new OWASP AI Testing Guide is a direct response to this challenge. This community-created guide provides a comprehensive and evolving framework...
Modern AI applications gain real popularity when they translate natural language prompts to execute external services. This article describes the basic understanding of the key components: semantic kernel, Azure OpenAI, and MCP Client-Server. It also describes the implementation to connect the Semantic Kernel to an Azure-hosted OpenAI resource so that an LLM can be queried directly. Additionally, you will learn how to...
Deploying a Flutter web app can feel repetitive if youβre doing it manually every time. GitHub Actions automates this by continuously deploying your app to Firebase Hosting whenever you push code to your repository. This guide walks you through setti...
Over the last three months, life has had me juggling a lot β managing my marriage, taking care of family health issues, and overseeing new construction work at home. Somehow, I got through it all. But looking back, I realised something important: I c...
Ruby is a programming language designed with developer happiness in mind. Its elegant and intuitive syntax makes coding not only productive but also enjoyable. Ruby stands out with its powerful metaprogramming capabilities, allowing developers to tre...
Over the last few years, the conversation around AI has slowly shifted from prompt engineering to something more structured and more powerful: context engineering. When you are working on a chatbot that answers questions around a knowledge base or working on an agentic AI framework that is very complex, the way you architect context depends entirely on the problem you are solving. Simply put, context complexity scales...
Open source is aging. We can better support Gen Z contributors through purpose, flexibility, and pathways to leadership. The post Who will maintain the future? Rethinking open source leadership for a new generation appeared first on The GitHub Blog.
Have you ever thought about talking to your data in Google Cloud BigQuery using natural language queries? If I told you a year ago that it was possible, you might think that I am out of my mind. But with MCP (Model Context Protocol), it is now totally possible. Before we get into the nitty-gritty details of how it is done, let us first look at a simple diagram explaining how we can connect and talk to our BigQuery data...
Chatbots should do more than just chat. We just published a new course on the freeCodeCamp.org YouTube channel that will teach you how to build a smart AI shopping assistant from the ground up. This comprehensive course, created by Ania Kubow, goes b...
The line between design and development is becoming increasingly blurred. Websites and applications no longer compete solely based on functionalityβthey must also deliver intuitive, visually appealing user experiences. For front-end developers, understanding and applying basic graphic design principles is no longer a luxury but a necessity. This blog explores how developers can harness design fundamentals to create...
Senior developers know how to deploy code to systems made of code. Architects know how to deploy ideas to systems made of people.
βYou might not be familiar with Amadeus, because it is a B2B company [but] when you search for a flight or a hotel on the Internet, there is a good chance that you are using an Amadeus-powered service behind the scenes,β according to Didier Spezia, a cloud architect for Amadeus. Amadeus is a leading global travel IT company, powering the activities of many actors in the travel industry: airlines, hotel chains, travel...
Modern data platforms are evolving rapidlyβdriven by a need for scalability, flexibility, and analytics at scale. Lakehouse architecture sits at the center of this evolution, combining the low-cost storage of data lakes with the reliability and structure of data warehouses. To power these lakehouses, organizations are turning to open table formats like Apache Iceberg. Originally developed at Netflix, Apache Iceberg was...
Large Language Models (LLMs) such as GPT, LLaMA, and Mistral have transformed the way applications interpret and generate natural language, driving innovation across a wide range of industries. Yet, operationalizing these models at scale introduces a host of technical challenges, including dependency management, GPU integration, orchestration, and auto-scaling. The rapid evolution of LLMs presents immense opportunities...
submitted by /u/PhilipLGriffiths88 [link] [comments]
New GOMAXPROCS defaults in Go 1.25 improve behavior in containers.
Although LLMs are bad at general coding, they seem like an interesting fit for getting rid of stale code that's behind feature flags submitted by /u/Determinant [link] [comments]
Quantum computing might sound familiar, but have you ever tried using it yourself? Despite the reputation for complex math, the fundamentals of quantum computing are surprisingly easy. This guide offers a beginner-friendly walkthrough for working with qubits. Youβll learn how to build your first quantum program and see it generate numeric output, step by step.
Delegate coding tasks to Copilot and track progress wherever you are on GitHub. Copilot works in the background, creates a pull request, and tags you for review when finished. The post Agents panel: Launch Copilot coding agent tasks anywhere on GitHub appeared first on The GitHub Blog.
Alex & Chris get into a fairly recent technological change at CodePen where we ditched our Elasticsearch implementation for just using our own Postgres database for search. Sometimes choices like this are more about team expertise, dev environment practicalities, and complexity tradeoffs. We found this change to be much better for us, which matters! For [β¦]
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. The data engineering landscape has undergone a fundamental transformation with a complete reimagining of how data flows through organizations. Traditional business intelligence (BI) pipelines were built for looking backward, answering questions like "How...
Todayβs world is obsessed with AI, and performance conversations often center on models, automation, and tooling. But when it comes to real, sustainable productivity gains, itβs not just about adding more AI. It's about designing better systems. In high-speed product environments (whether driven by AI or not) execution is urgent, but effectiveness depends on how you enable people. At GlobalLogic, I joined an...
High performance and privacy are at the heart of most successful software systems. No one wants to use a software service that takes a ridiculous amount of time to load β and no company wants their usersβ data exposed at the slightest vulnerability. ...
If you are a web developer who doesnβt know about App Development (like me!), then this article is for you. Iβll teach you how to turn your website into a native app, without new frameworks or languages. Youβll learn how to convert a website to a PWA...
The ability to track what happens with API requests is an important aspect of monitoring, tracing and debugging back-end applications. But how do you differentiate between the reports of two consecutive API requests to the same API endpoint? This art...
Modern e-commerce platforms must handle millions of users and thousands of simultaneous transactions. Our case study involves a large retail monolith serving millions of customers (~4,000 requests/s). The monolith struggled with scalability, so we re-architected it into microservices using Apache Kafka as the core Pub/Sub backbone. Kafka was chosen for its high throughput and decoupling: it βdecouple[s] data sources...
SQL queries can be intimidating, especially for non-technical users. What if we could bridge the gap between human language and structured SQL statements? Enter SQLGenieβa tool that translates natural language queries into SQL by understanding database schemas and user intent. To build SQLGenie, I explored multiple approachesβfrom state-of-the-art LLMs to efficient rule-based systems. Each method had its strengths and...
TL; DR: Thinking About Use Cases I tried ChatGPTβs new Agent Mode: Is it really a new Agile AI Agent that autonomously identifies noteworthy signals in the daily communication and data noise? Or is it a glorified automated prompt execution device? Letβs find out. (Note: I only have a Plus account, which limits the experience.)
Qwen3 is the cutting-edge series of large language models developed by Alibaba Cloud's Qwen team. The LLM is known for its advanced reasoning, multilingual support, and efficient hybrid "Thinking" and "Non-Thinking" modes. We just posted a course on ...
Introduction I want to walk you through a detailed setup that combines a Compute Engine Virtual Machine (VM) with a custom Virtual Private Cloud (VPC), a managed PostgreSQL database using Cloud SQL, and the analytical prowess of BigQuery. We will complete setting up a secure, efficient, and interconnected environment for your data needs. Getting Started Create a new Google Cloud Project.
Our August release, Stack Overflow for Teams 2025.6, focuses on critical back-end improvements that enhance stability, data integrity, and identity management.
Quality is not just a function of technology and Product, but also encompasses every aspect of day-to-day project operations for efficient project delivery. Traditionally, the Cost of Quality (COQ) refers to costs associated with achieving and maintaining product or service quality. It comprises both the costs of good quality and the costs associated with poor quality. Reduced cost of quality increases project margin...
Regex (Regular Expressions) is a powerful tool that is embedded inside Python which is a sequence of characters that define search patterns. Regex allows one to do string searching, string matching and manipulating strings based on the search pattern to do the operations like text extraction, data validation and search and replace functions. Regex is used whether we are processing large datasets, web scraping or...
Caching is an important technique for enhancing the performance and cost efficiency of diverse cloud native applications, including modern generative AI applications. By retaining frequently accessed data or the computationally expensive results of AI model inferences, AI applications can significantly reduce latency and also lower token consumption costs. This optimization allows systems to handle larger workloads...
Ryan is joined by Tuhin Srivastava, CEO and co-founder of Baseten, to explore the evolving landscape of AI infrastructure and inference workloads, how the shift from traditional machine learning models to large-scale neural networks has made GPU usage challenging, and the potential future of hardware-specific optimizations in AI.