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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXHow GitHub Models can help open source maintainers focus on what matters
Learn how GitHub Models helps open source maintainers automate repetitive tasks like issue triage, duplicate detection, and contributor onboarding β saving hours each week. The post How GitHub Models can help open source maintainers focus on what matters appeared first on The GitHub Blog.
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Beyond Keys and Values: Structuring Data in Redis
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.
Building Recommendation Engines With AI and SQL
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...
How we accelerated Secret Protection engineering with Copilot
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.
Developers use AI more, but they trust it much less
submitted by /u/milanm08 [link] [comments]
Practical Guide to Snowflake Performance Tuning With SQL and AI Enhancements
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...
Designing Scalable Ingestion and Access Layers for Policy and Enforcement Data
In trust and safety systems, the ability to access real-time signals β such as risk scores, policy flags, or enforcement states β 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...
Moving the public Stack Overflow sites to the cloud: Part 1
Stack Overflow, born on the bare metal racks of a data center, ascends to the cloud.
How to Understand Emergent Behavior in Agentic AI: Chaos or Intelligence?
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, weβre seeing systems that do far...
406: Hot Trends of 2025
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
Cry and Authenticate How AI is Changing Security
I constantly have thoughts buzzing in my head, and I need to throw them somewhere or they'll just fly away. So I thought Iβd write a few articles about how our lives are becoming more like the movies and games we grew up with. Letβs get started. Today, letβs 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,...
Thoughts on Vibe Coding from a 40-year veteran
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...
From Runtime Fires to PreβFlight Control: A Gatekeeper Model for Sparkβ―SQL
A Quick BackβStory It was 2a.m., the cluster dashboard was glowing red, and the only thing separating me from a full nightβs sleep was a stray comma in a userβsupplied 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 βwhy is the job queue jammed again?β postβmortem, I decided to build a...
How Healthy Is Your Data in the Age of AI? An In-Depth Checklist to Assess Data Accuracy, Governance, and AI Readiness
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...
Reclaiming Oracle Tablespace Space Using HWM Logic: On-Prem and Cloud-Aware Automation
In enterprise-grade Oracle environmentsβwhether fully on-premises, hybrid, or actively transitioning to Oracle Cloud Infrastructure (OCI)βefficient 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...
How to Build Your AI Demos with Gradio
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...
Implementing Scalable IoT Architectures on Azure
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...
Development of System Configuration Management: Working With Secrets, IaC, and Deserializing Data in Go
Series Overview This article is Part 2.1 of a multi-part series: "Development of system configuration management." The complete series:
Blockchain, AI, and Edge Computing: Redefining Modern App Development
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...
Create 3D Web Experiences with JavaScript and Three.js
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...
Digital Twins Reborn: How AI Is Finally Fulfilling the Promise of IoT
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...
Wait, What Format Is That? A CrossβDomain Guide for Everyone
Are you an Engineering or Technology Leader who is looking up βwhatβs that file formatβ, 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?
State of the art for reducing executable size with heavily optimized program
submitted by /u/ketralnis [link] [comments]
Optimizing Docker Container Logging: Strategies for Scalability and Performance
In modern microservices, logging is vital for observability, performance, and incident response. Traditional logging fails at scale, causing latency and storage issues. This article details efficient logging strategies for Docker containers, including log driver selection and centralized aggregation, to mitigate bottlenecks and build a robust, scalable logging infrastructure for any deployment at scale. Understanding...
How to Break Free from Tutorial Hell: A Practical Guide
If you have ever spent weeks hopping from one coding tutorial to another, only to freeze the moment you are asked to build something from scratch, you're not alone. This loop, known as tutorial hell, is where many aspiring developers get stuck. It fe...
Caching a Next.js API using Redis and Sevalla
When you hear about Next.js, your first thought may be static websites or React-driven frontends. But thatβs just part of the story. Next.js can also power full-featured backend APIs that you can host and scale just like any other backend service. In...
Seamless Storage: Configuring Kubernetes PVC for Windows Shared Folders With SMB
Introduction In the new cloud-native era, it is important to be able to scale and manage applications efficiently. Kubernetes, as a leading container orchestration platform, provides strong features for managing storage through Persistent Volume Claims (PVCs). Mapping Kubernetes to traditional enterprise storage solutions, such as Windows shared folders via the Server Message Block (SMB) protocol, can be especially...
How to use GitHub Copilot on github.com: A power userβs guide
Explore how to use GitHub Copilot on github.com to automate tasks, assign agents, prototype ideas, and streamline your entire workflow β all without an IDE. The post How to use GitHub Copilot on github.com: A power userβs guide appeared first on The GitHub Blog.
How to Handle Permissions in Flutter: A Comprehensive Guide
Permissions are crucial when building mobile applications that require access to device features such as location, camera, contacts, microphone, storage, and more. And handling permissions effectively ensures that your app provides a seamless user ex...
Scaling Real-Time Data Systems With DataOps: Principles, Practices, and Use Cases
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. Real-time decision making is no longer a competitive advantage; it's becoming a baseline expectation. From fraud detection to personalized recommendations, modern systems are expected to process and respond to user activity within milliseconds. But while...
How To Build an AI-Powered Search Bar With Vector Embeddings and OpenAI
When you search for something in a search bar, but the results seem off from what you wanted to find, you join many others who have experienced this. We've all been there before β you search for "cost" only to come away with nothing because the doc only says "price." That's the pitfall of traditional keyword search β it matches words, not meaning.
Understanding Memory Page Sizes on Arm64
One of the ways that the Arm64 architecture is different from x86 is the ability to configure the size of memory pages in the Memory Management Unit (MMU) of the CPU to 4K, 16K, or 64K. This article summarizes what memory page size is, how to configure page size on Linux systems, and when it might make sense to use a different page size in your applications. Introduction to Memory Page Size As we previously discussed...
Apigee Edge to Apigee in GCP MigrationβReplacing ExtensionCallout policy With MessageLogging Policy for Logging
As more companies migrate their APIs to cloud, Apigee on Google Cloud provides a reliable solution to manage and secure APIs. For Apigee Edge (a SaaS platform) users, this migration allows them to leverage the cloud-native capabilities of Google Cloud to improve scalability, performance, and security. Benefits of Migration Cloud-Native Benefits: Apigee on Google Cloud provides seamless integration with applications...
Data Splits in Machine Learning: Training, Validation, and Test Sets
In machine learning, the integrity of your data pipeline is foundational. How you split and utilize your data impacts model performance as much as the algorithms themselves. Decisions made early, for data partitioning, inform not just development but deployment and ongoing monitoring. Effective data splitting separates model development from validation and performance assessment, ensuring reproducibility and meaningful...
Toward Explainable AI (Part 3): Bridging Theory and PracticeβWhen Explaining AI Is No Longer a Choice
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 II:The Two Major Categories of Explainable AI Techniques. How XAI methods help open the black box