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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXHow to Build ML Experimentation Platforms You Can Trust?
Machine learning models don’t succeed in isolation — they rely on robust systems to validate, monitor, and explain their behavior. Top tech companies such as Netflix, Meta, and Airbnb have invested heavily in building scalable experimentation and ML platforms that help them detect drift, uncover bias, and maintain high-quality user experiences. But building trust in machine learning doesn’t come from a single...
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Deep Reinforcement Learning in Natural Language Understanding
Language is messy, subtle, and full of meaning that shifts with context. Teaching machines to truly understand it is one of the hardest problems in artificial intelligence. That challenge is what natural language understanding (NLU) sets out to solve...
Consumer Ecosystem Design for Efficient Configuration Based Product Rollouts
In a regulated and complex industry like Insurance, one of the biggest challenges facing speed to market is the complexity in regulations and the state variations. Both the variations and complexities cause the code to become unmanageable and complex with all sorts of conditional statements and business logic creeping into consumer applications, making it extremely hard to manage or develop. This is where distributed...
Why `git diff` sometimes hangs for 10 seconds on Windows (it's Defender's behavioral analysis, and file exclusions won't help)
Originally posted in r/git. TL;DR: Git commands like git diff, git log, and git blame randomly stall for 10 seconds on Windows. It's Microsoft Defender analyzing how Git spawns its pager through named pipes/PTY emulation - not scanning files, which is why exclusions don't help. After analysis, the same commands run instantly for ~30 seconds, then stall again. The fix: disable pagers for specific commands or pipe...
Virtualized Containers vs. Bare Metal: The Winner Is…
The blanket statement that bare metal is superior to containers in VMs for running containerized infrastructure, such as Kubernetes, no longer holds true. Each has pros and cons, so the right choice depends heavily on specific workload requirements and operational context. Bare metal was long touted as the obvious choice for organizations seeking both the best compute performance and even superior security when hosting...
From drop-out to backpacker to self-taught developer with Dominick Monaco [Podcast #183]
On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Dominick Monaco. He dropped out college to hike the Appalachian Trail, a 2,200 mile backpacking route across the US. After working in nature conservation for 3 years...
Amazon EMRFS vs HDFS: Which One Is Right for Your Big Data Needs?
Amazon EMR is a managed service from AWS for big data processing. EMR is used to run enterprise-scale data processing tasks using distributed computing. It breaks down tasks into smaller chunks and uses multiple computers for processing. It uses popular big data frameworks like Apache Hadoop and Apache Spark. EMR can be set up easily, enabling organizations to swiftly analyze and process large volumes of data without...
Data Pipeline Architectures: Lessons from Implementing Real-Time Analytics
Not long ago, real-time analytics was considered a luxury reserved for tech giants and hyper-scale startups—fraud detection in milliseconds, live GPS tracking for logistics, or instant recommendation engines that adapt as users browse. Today, the landscape has shifted dramatically.
My First Experience as a Tech Lead: What Led Me There, What I Would Do Differently, and Lessons Learned
I’ve been lurking here for years, quietly learning from the stories, debates, and code snippets you all share. So today, I wanted to give something back—my own story from the trenches. submitted by /u/Skenklok86 [link] [comments]
Agile Teams Thrive on Collective Strengths, Not Sameness
“Everyone should be able to do everything” is a misquoted Agile myth. Agile Scrum teams are intentionally cross-functional, meaning they include the necessary mix of skills—such as development, testing, design, DevOps, and business analysis—to deliver a working product increment. The goal is to minimize handoffs and dependencies that delay the delivery of value.
The future of Vue is you (and You)
Ryan welcomes Evan You, the creator of Vue.js, to explore the origins of Vue.js, the challenges faced during its development, and the project’s growth over a decade. They dive into potential integrations for AI, future developments for Vue.js, and the sustainability of open-source projects.
From LISP to Racket (a brief history of LISP programming)
This is the first in a series of a historical perspective on LISP. For a while, LISP was really on its way to becoming "the programming language". Why it didn't, well that's an interesting story. Of course, this isn't as comprehensive nor as detailed as I want it to be, but I can only do so much for personal reasons. It keeps my brain working and if a few people find it interesting, that is great. I kid of course. Not...
From epoll to io_uring’s Multishot Receives — Why 2025 Is the Year We Finally Kill the Event Loop
The evolution of Linux asynchronous I/O from epoll to io_uring, highlighting how multishot receive operations streamline network event handling. submitted by /u/mqian41 [link] [comments]
How to Set Up GitHub CLI on WSL2
Recently, I set up WSL2 and Ubuntu on my Windows 11 to work on some open-source projects. Since I also maintain these projects, I installed GitHub CLI to ease my workflow. I successfully installed the GitHub CLI, but failed to authenticate it. The er...
How IoT Devices Communicate With Alexa, Google Assistant, and HomeKit — A Developer’s Deep Dive
As software developers, we're immersed in a world of interconnected systems. From microservices orchestrating complex business logic to distributed databases humming along, the art of inter-process communication is our daily bread. Yet, there's one ubiquitous form of interaction that often feels like magic to the layperson (and sometimes to us): the seamless dance between our smart home gadgets and voice assistants...
Reverse Proxy Deep Dive: Why Load Balancing at Scale Is Hard
submitted by /u/ketralnis [link] [comments]
Cloud Data Engineering for Smarter Healthcare Marketing
Healthcare marketing is going through a major transformation, with data processing happening at a tremendous speed. Organizations are prioritizing well-structured data to understand patient behavior, leveraging cloud data engineering. Why is this shift happening now? Because the healthcare industrygenerates 2,314 exabytes of data per year, yet 90% of it goes unused. It includes patient interactions, EHRs, claims, CRM...
A Comprehensive Comparison of Serverless Databases and Dedicated Database Servers in the Cloud
The cloud computing landscape has revolutionized how businesses manage their data, offering unprecedented scalability, flexibility, and cost-effectiveness. Within this landscape, the choice between traditional dedicated database servers and the emerging paradigm of serverless databases represents a pivotal decision with significant implications for infrastructure management, performance optimization, and overall...
Variance in type systems
I could never remember what covariance, contravariance and invariance meant. These concepts show up quite frequently in programs. So I decided to learn them once and for all and wrote up a post. I'm open to any feedback :) submitted by /u/samyak210 [link] [comments]
The Next Frontier in Cybersecurity: Securing AI Agents Is Now Critical and Most Companies Aren’t Ready
You can’t secure what you don’t understand, and right now, most enterprises don’t understand the thing running half their operations. Autonomous AI agents are here. They’re booking appointments, executing trades, handling customer complaints, and doing it all without waiting for human permission. But while businesses are busy chasing the productivity boost, they’re sleepwalking into the next generation of cyber...
GPT-5 in GitHub Copilot: How I built a game in 60 seconds
How GitHub's new MCP server and GPT-5 are revolutionizing developer workflows — with live build examples. The post GPT-5 in GitHub Copilot: How I built a game in 60 seconds appeared first on The GitHub Blog.
Q1 2025 Innovation Graph update: Bar chart races, data visualization on the rise, and key research
Discover the latest trends and insights on public software development activity on GitHub with the quarterly release of data for the Innovation Graph, updated through March 2025. The post Q1 2025 Innovation Graph update: Bar chart races, data visualization on the rise, and key research appeared first on The GitHub Blog.
Is Codex the End of Boilerplate Code?
Boilerplate code has always been the background noise of software development. It’s like lining up bricks of a house. It's boring, repetitive, and dull, but always necessary. Whether it’s setting up a web server, writing authentication flows, or configuring logging, most senior developers can do it with their eyes closed. Yet, they still have to do it. But OpenAI’s Codex is here to change that.
How AI is Changing the Way We Code
Something big is happening in the world of software development. In 2025, the way we write, read, and think about software has undergone a significant shift, and it’s not subtle. At the center of this shift is artificial intelligence. Just five years...
Reclaiming the Architect’s Role in the SDLC
Over the past decade and a half, following the general shift away from the waterfall model, the industry has increasingly underutilized the expertise of software architects. The pendulum swung almost to the point of making any design work feel redundant. Strong software design and continuous architecture validation are essential for building efficient and reliable systems in real-world applications. Development teams...
No More ETL: How Lakebase Combines OLTP, Analytics in One Platform
Databricks' Lakebase, launched in June 2025, is a serverless Postgres database purpose-built to support modern operational applications and AI workloads—all within the Lakehouse architecture. It stands apart from legacy OLTP systems by unifying real-time transactions and lakehouse-native analytics, all without complex provisioning or data pipelines. Under the hood, Lakebase is PostgreSQL-compatible, which means...
How OpenTelemetry Improved Its Code Integrity for Arm64 by Working With Ampere®
Snapshot Challenge: Software developers and IT managers need instrumentation and metrics to measure software behavior. When developers and DevOps professionals assume that software will run on a single hardware architecture, they may be overlooking architecture-specific behavior. Arm64-based servers, including the Ampere Altra family of processors, offer performance improvements and energy savings over x86, but the...
Beyond Netflix: Why Fintech Recommendations Need a Completely Different Playbook
Let’s dive into how to create a recommendation system for fintech—hearing for the first time? But don’t worry, I’ll break it down into bite-sized pieces. The Unique Nature of Financial Recommendations First off, financial recommendations are a whole different ballgame compared to those you’d get from Netflix or an online store. If Netflix suggests a bad movie, it’s just 90 minutes wasted. But if a fintech app makes a...
The Myth of In-Place Patching: Unpacking Protocol Buffers, FieldMasks, and the "Last Field Wins" Conundrum
Data serialization frameworks like Google Protocol Buffers (Protobuf) have become indispensable. They offer compact binary formats and efficient parsing, making them ideal for everything from inter-service communication to persistent data storage. But when it comes to updating just a small part of an already serialized data blob, a common question arises: can we "patch" it directly, avoiding the overhead of reading,...
How to Successfully Program an AI
Artificial intelligence (AI) is transforming sectors like healthcare, finance, and education. In this scenario, knowing how to program an AI has become a strategic and highly valued skill. This guide brings clear, practical advice to help you develop an AI system from scratch. Whether you're just starting or already have some experience, the tips below will help you move forward with more confidence and efficiency....
I've been building AI agents for a while now, and there's a fundamental problem nobody's talking about
How I stumbled down this rabbit hole I was working on a fully autonomous cold outbound agent. I wanted something that could source leads, enrich those leads, write personalized emails, and manage the entire outreach process with little to no human feedback. The technical challenge seemed straightforward, I would combine web scraping, LLM reasoning, and email automation into one system that would self-improve over time....
GitHub Availability Report: July 2025
In July, we experienced one incident that resulted in degraded performance across GitHub services. The post GitHub Availability Report: July 2025 appeared first on The GitHub Blog.
Scheduler-Agent-Supervisor Pattern: Reliable Task Orchestration in Distributed Systems
The Scheduler-Agent-Supervisor (SAS) pattern is a powerful architectural approach for managing distributed, asynchronous, and long-running tasks in a reliable and scalable way. It is particularly well-suited for systems where work needs to be orchestrated across many independent units—each capable of failing and retrying—while maintaining observability and idempotency. This pattern divides responsibilities into three...
Database Choices for Real-World Applications Cheat Sheet
Choosing the right database is a crucial decision when designing software systems. While functional requirements can be met with any database, the real challenge lies in fulfilling non-functional requirements (NFRs) such as scalability, query performance, consistency, and data structure suitability. The database choice can significantly impact system efficiency, especially in large-scale applications. This article...
How to Design Structured Database Systems Using SQL [Full Book]
This book will guide you, step-by-step, through designing a relational database using SQL. SQL is one of the most recognized relational languages for managing and querying data in databases. You’ll learn the fundamental concepts related to both data ...