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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXMCP servers can’t be the future, can they?
From what I understand, an MCP server is just like a really badly slopped together RPC protocol that gets LLMs to interact with other systems. So…we are just going to run dozens or hundreds of MCP servers locally for our LLMs to access all the tools? This can’t be what AI hypers believe the future is going to be, is it? We are going to burn GPU cycles instead of just making a database call with psql? This can’t be the...
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From punch cards to prompts: a history of how software got better
Ryan welcomes Darko Mesaroš, Principal Developer Advocate at AWS and all-around computer history buff, to chat about the history of software development improvements and how they made developers made more productive.
Prepare for the Google Professional Cloud Architect Certification Exam – And Pass!
We just released a full course on the freeCodeCamp.org YouTube channel to help you prepare for the Google Cloud Professional Cloud Architect (GCP-PCA) certification exam. The Professional Cloud Architect certification is one of Google Cloud’s top cre...
Use Arduinos for Computer Vision
We just published a new course on the freeCodeCamp.org YouTube channel that mixes computer vision, deep learning, and Arduino into some really fun projects. In this course, you’ll build two hands-on applications using MediaPipe and OpenCV. The first ...
What’s the most underrated skill for developers?
Whenever I see dev skill checklists, it’s full of frameworks, languages, and algorithms. Those are important. But in my experience, the skills that really move projects forward are often softer. For me, the most underrated one is clear communication. I’ve seen projects fail not because of bad code, but because of unclear requirements, misunderstood priorities, or a simple lack of alignment between team members. Good...
Many hate on Object-Oriented Programming. But some junior programmers seem to mostly echo what they've heard experienced programmers say. In this blog post I try to give a "less extreme" perspective, and encourage people to think for themselves.
submitted by /u/KarlZylinski [link] [comments]
Deezpatch v1.0.0 Released
I just released v1.0.0 of an open source Java library I've been working on: Deezpatch - A simple yet FAST library to dispatch requests and events to corresponding handlers It’s a simple, reflection-free request/event dispatching library focused on performance. If you’re dealing with pub/sub or domain events in your app and want something lightweight and fast, this might be worth a look. High-performance dispatching...
How to Build Micro Frontends in React with Vite and Module Federation
Micro Frontend Architecture has become increasingly popular in recent years, as teams look to re-use parts of their existing applications in new projects rather than rebuilding everything from scratch. Micro frontends also allow large teams to share ...
Benchmarking Storage Performance (Latency, Throughput) Using Python
Understanding the performance of your AWS S3 storage specifically, how quickly you can read and write data is essential for both cost optimization and application speed. By running Python scripts that measure latency and throughput, you can compare different S3 storage classes, identify hidden bottlenecks, and make data-driven decisions about where and how to store your data. This article breaks down the fundamentals...
From Simple Lookups to Agentic Reasoning: The Rise of Smart RAG Systems
Retrieval-Augmented Generation (RAG) is a technique in large language models (LLMs) that enhances text generation by incorporating external data retrieval into the process. Unlike traditional LLM usage that relies solely on the model’s pre-trained knowledge, RAG allows an AI to “look things up” in outside sources during generation. This significantly improves the factual accuracy and relevance of responses by grounding...
Building AI-Driven Anomaly Detection Model to Secure Industrial Automation
Introduction In modern industrial automation, security is a primary requirement to keep the regular operation of industrial connected devices without disruption. However, the rise of cyber risks also significantly impacts the industry’s sustainable operation. The evolving cyberattacks can affect the overall industrial systems that control industrial processes and systems. Modern attacks are more targeted and designed...
[article/handbook] "Engineered for Confidence" - a 3 Part handbook on Unit Tests!
Hey r/programming ! I recently completed writing a three-part handbook called "Engineered for Confidence" and would like to share it with you all. It started as an internal document to standardize our team's unit testing practices. But as I wrote it, I realized that most guides focus on the "how" and entirely skip the "why," which is where the real value is(IMO). So, I expanded it into a comprehensive resource that...
How I built a schema-aware mock data generator for Prisma (and the challenges I ran into)
Mock data generation is usually easy when working with flat models — but once you add relations and constraints, things get complicated quickly. Over the past few weeks, I’ve been working on a CLI tool that automatically generates mock data directly from a Prisma schema. My main goal was to make it “schema-aware” so the generated data respects relations like User Post Comment. Here are the three hardest problems I...
The Anatomy of Node: I'm re-building a JavaScript runtime from scratch and blogging about it
submitted by /u/chesus_chrust [link] [comments]
Oracle Standard Edition vs PostgreSQL (Open Source): Performance Benchmarking for Cost-Conscious Teams
Relational databases sit at the core of nearly every application stack—powering everything from customer transactions to critical business reporting. Choosing the right database is no small decision: it influences application performance, scalability, maintenance overhead, and ultimately, total cost of ownership. Two of the most popular contenders in the OLTP (Online Transaction Processing) space are Oracle Standard...
Explanation of the Linux-kernel memory consistency model
submitted by /u/ketralnis [link] [comments]
How to Build a Machine Learning System on Serverless Architecture
Let’s say you’ve built a fantastic machine learning model that performs beautifully in notebooks. But a model isn’t truly valuable until it’s in production, serving real users and solving real problems. In this article, you’ll learn how to ship a pro...
Rediscovering joy in learning: Jason Lengstorf on the state of development
We sit down with Jason Lengstorf on the GitHub Podcast, where he shares his perspective on education, AI, open source, and more. The post Rediscovering joy in learning: Jason Lengstorf on the state of development appeared first on The GitHub Blog.
A Comparative Analysis of GitHub Copilot and Copilot Agent: Architectures, Capabilities, and Impact in Software Development
Artificial intelligence (AI) is rapidly reshaping how software is built, tested, and maintained. GitHub Copilot leads this shift as a smart coding assistant that suggests real-time code completions by learning from billions of lines of public code. As the complexity of development work continues to grow, the need for an AI tool that extends beyond code completion will arise. Enter GitHub Copilot Agent, a more...
Java 21 Virtual Threads vs Cached and Fixed Threads
Introduction Concurrent programming remains a crucial part of building scalable, responsive Java applications. Over the years, Java has steadily enhanced its multithreaded programming capabilities. This article reviews the evolution of concurrency from Java 8 through Java 21, highlighting important improvements and the impactful addition of virtual threads introduced in Java 21. Starting with Java 8, the concurrency...
Zero-Latency Data Analytics for Modern PostgreSQL Applications
On July 23, 2025, AWSannouncedAmazon Relational Database Service (Amazon RDS) for PostgreSQL zero-ETL integration with Amazon Redshift, enabling near real-time analytics and machine learning (ML) on petabytes of transactional data. With this launch, you can create multiple zero-ETL integrations from a single Amazon RDS PostgreSQL database, and you can apply data filtering for each integration to include or exclude...
The Benefits of AI Micromanagement
TL; DR: AI Micromanagement Has Its Merits The benefits of AI micromanagement show up when you feed ChatGPT 5 progressively more context about your actual situation. I tested five prompts for a retrospective design: from zero context to full team background with extended reasoning time. Case 1 produced generic “Scrum Oscars” nonsense. Case 5 delivered sophisticated root-cause analysis targeting chronic top-down thrash,...
Pulumi: Modern Infrastructure as Code With Real Programming Languages
After a long journey with Terraform, when Terraform introduced HCL2, I started exploring for an alternative IaC tool to write code in my programming language of choice, and that's when I found Pulumi. Founded in 2017, Pulumi has emerged as a powerful alternative to traditional IaC tools by bridging the gap between software development and infrastructure management. Pulumi is a modern Infrastructure as Code (IaC)...
How to Implement Kill Switch Feature Flags in a Spring Boot Application
Kill switches are a type of feature flag that allows you to shut off features in your application quickly. They are useful for: Emergency shutoffs of external APIs and services. Responding to unexpected spam or traffic spikes. Other operational incidents where you need to quickly put the brakes on without causing additional disruption. In this tutorial, you will learn to add a kill switch to a Spring Boot application,...
Svelte was built on “slinging code for the sheer love of it”
Rich Harris, creator of Svelte and software engineer at Vercel, joins Ryan on the show to dive into the evolution and future of web frameworks. They discuss the birth and growth of Svelte during the rise of mobile, the challenges of building robust and efficient web applications, how companies can back more open-source community projects, and the dirty little secret about asynchronous operations and component...
Testing Time (and other asyncronicities)
A discussion of testing asyncronous code and an exploration of the `testing/synctest` package. Based on the GopherCon Europe 2025 talk with the same title.
Testing Time (and other asynchronicities)
A discussion of testing asynchronous code and an exploration of the `testing/synctest` package. Based on the GopherCon Europe 2025 talk with the same title.
Marshal madness: A brief history of Ruby deserialization exploits
submitted by /u/ketralnis [link] [comments]
Regular Expression Matching Can Be Simple And Fast (2007)
submitted by /u/ketralnis [link] [comments]
The 17 character code that runs the automotive world
submitted by /u/cardogio [link] [comments]
How to Build an Advice Generator Chrome Extension with Manifest V3
In 2025, using Chrome without extensions is like using a smartphone without apps. It’s possible, but you’re missing out on a lot. And despite how essential extensions are, creating one is very simple – it’s just HTML, CSS, and JavaScript with browser...
Transforming Data into Decisions: Crafting Generative AI That Delivers Accurate Intelligence
Introduction:Generative AI, driven by advancements in machine learning (ML), has transformed various industries by enabling machines to create text, images, music, and even code. However, developing robust, reliable, and personalized generative systems involves more than just large language models. Crucial components include data validation, thorough testing, personalized ranking, and structured reasoning (for example,...
The Ultimate Git Tutorial (Git 2.51)
The ultimate Git tutorial has been updated (from Git 2.50 to Git 2.51). Previous post from Git 2.47 era introducing What & Why and Features for this tutorial. What & Why: The ultimate tutorial for beginners to thoroughly understand Git, introducing concepts/terminologies in a pedagogically sound order, illustrating command options and their combinations/interactions with examples. This way, learning Git no...
Debugging Distributed ML Systems
My ML model for categorizing suddenly started classifying groceries as entertainment expenses. But why? What happened? I was looking at my personal finance dashboard and noticed something was completely off. The logs from each service looked normal. The health checks were green. Yet somehow, my grocery store purchases were being flagged as entertainment, and my restaurant bills were showing up as utilities.
A Beginner’s Guide to Hyperparameter Tuning: From Theory to Practice
There are many ways to approach machine learning, and selecting the right algorithm is just the first step. What a model can truly offer in terms of performance can be distilled to how well it is fine-tuned. Here, the analogy is the adjusting of dials on a supercharged engine, which is otherwise called hyperparameters. Hyperparameter tuning is the act of modifying the parameters of a model — that is, the parameters...