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In this post, I'll walk you through how we built two critical foundation pieces: a file watching system and a collections store that understands the relationship between your code and your API tests. submitted by /u/evilhighlord [link] [comments]
Introduction: When You Donβt Know if You Should Validate In everyday software development, many engineers find themselves asking the same question: βDo I need to validate this data again, or can I assume itβs already valid?β Sometimes, the answer feels uncertain. One part of the code performs validation βjust in case,β while another trusts the input, leading to either redundant checks or dangerous omissions. This...
I have been workingon a websitethat combines acustom Node.js application witha WordPress blog,and I am excitedto share myjourney. After tryingout different hosting configurations,I found asimple way to create asmooth online presenceusing Nginx onAlmaLinux. Important note:Throughout this guide, replace example.com with your actual domain name. For instance, if your domain is mydomain.com, you will substitute all...
In the age of code dominance, where billions of dollars are controlled by lines of code, a frustrated coder crossed the boundary between protest and cybercrime. What began as a grudge became an organized act of sabotage, one that now could land him 10 years in federal prison. Recently, a contract programmer was fired by a US trucking and logistics company. But unbeknownst to his bosses, he had secretly embedded a...
The open source Git project just released Git 2.51. Here is GitHubβs look at some of the most interesting features and changes introduced since last time. The post Highlights from Git 2.51 appeared first on The GitHub Blog.
Key Takeaways Pick your base image like you're choosing a foundation for your house. Going with a minimal variant like python-slim or a runtime-specific CUDA image, is hands down the quickest way to slash your image size and reduce security risks. Multi-stage builds are your new best friend for keeping things organized. Think of it like having a messy workshop (your "builder" stage) where you do all the heavy lifting...
Itβs one of those weeks where I just feel like posting some specimen screenshots of new-to-me typefaces that I like and have saved.
Every modern data team has experienced it: A product manager asks for a quick metric, βtotal signups in Asia over the last quarter, broken down by device type,β and suddenly the analytics backlog grows. Somewhere deep in the data warehouse, an engineer is now tracing join paths across five tables, crafting a carefully optimized SQL query, validating edge cases, and packaging it into a pipeline that will likely break...
Organizations rely on real-time analytics to gain insights into their core business drivers, enhance operational efficiency, and maintain a competitive edge. Traditionally, this has involved the use of complex extract, transform, and load (ETL) pipelines. ETL is the process of combining, cleaning, and normalizing data from different sources to prepare it for analytics, AI, and machine learning (ML) workloads. Although...
Sign and symbol languages, like Makaton and American Sign Language (ASL), are powerful communication tools. However, they can create challenges when communicating with people who don't understand them. As a researcher working on AI for accessibility,...
Sign and symbol languages, like Makaton and American Sign Language (ASL), are powerful communication tools. However, they can create challenges when communicating with people who don't understand them. As a researcher working on AI for accessibility,...
As software systems evolve, there's a growing demand for applications that are not just reactive but proactive, adaptive, and intelligent. This is where Agentic AI comes in. Unlike traditional AI that simply follows instructions, Agentic AI involves autonomous agents that can perceive, reason, act, and learn just like intelligent assistants. In this article, weβll explore how to bring Agentic AI concepts into the world...
When developers think of Next.js, they often associate it with SEO-friendly static websites or React-based frontends. But what many miss is how Next.js can also be used to build full-featured backend APIs β all within the same project. Iβve recently ...
Many mobile applications require a stable internet connection to provide a smooth user experience. And as a Flutter developer, you need a robust way to handle network state changes, ensuring that your app responds gracefully whether it's connected, d...
Logging MCP Protocol When Using stdio If you havenβt heard of MCP β the Model Context Protocol β youβve probably been living under a rock. The Model Context Protocol (MCP) is becoming widely recognized, standardizing how applications provide context to LLMs. It barely needs an introduction anymore. Still, for the sake of completeness, let me borrow selectively from the official MCP site. Do take a moment to explore the...
Automation is a major aspect of the DevOps workflow, enhancing efficiency, and Bash script is one of the oldest and powerful tools for achieving this automation. Bash scripts help engineers and system admins to eliminate mundane workflow, repetitive tasks, and reduce errors across multiple environments. With its simplicity and adaptability in many Unix-based systems, the Bash script is used in day-to-day operations...
submitted by /u/cekrem [link] [comments]
React 19.1 and Next.js 15.3.2 have arrived, and React Server Components (RSC) are now officially a stable part of the React ecosystem and the Next.js framework. In this article, we'll dive into what server components are, how they work under the hood, and what they mean for developers. We'll cover the RSC architecture, data loading and caching, integration with Next.js (including the new app/ routing, the use client...
The convergence of generative AI, large language models (LLMs), and multi-agent orchestration has given rise to a transformative concept: compound AI systems. These architectures extend beyond individual models or assistants, representing ecosystems of intelligent agents that collaborate to deliver business outcomes at scale. As enterprises pursue hyperautomation, continuous optimization, and personalized engagement,...
Hey r/programming, For a while now, I've felt that our standard frontend benchmarks don't tell the whole story for the kind of complex, data-heavy apps many of us spend our days building. Core Web Vitals are great for initial load, and the popular js-framework-benchmark is useful, but it has two major limitations for testing at-scale apps: it forbids virtualization/buffered rendering, and it doesn't simulate real-world...
This article got me thinking about the fundamental paradox in our industry - we all desperately need good documentation, but most of us hate creating it. The piece talks about making docs βless boringβ through better design and structure, but Iβm more curious about the underlying problem: is the pain of writing documentation actually worth solving, or do most developers just accept it as a necessary evil? In my...
For anyone wanting to learn the MP4 container format, I recently built mp4analyzer, a Python tool for inspecting the structure of MP4 files. Comes with both a CLI and a Qt-based GUI. Published to PyPI for easy installation (pip install mp4analyzer). - CLI: Colorized tree view of MP4 box hierarchy, summaries, detailed parsing, JSON export. - GUI: Frame-by-frame video analysis with timeline visualization. Includes...
Most βAI agentβ posts are hand-wavy. Lots of theory, not much code. So I decided to actually build one β using AWS Bedrock Agents. Specifically, I put together a two-agent system where: One agent fetches data from APIs Another transforms and validates it before storing Along the way I hit interesting challenges: How to structure the agent workflows What Bedrock really gives you out of the box (vs. what you still need...
submitted by /u/gregorojstersek [link] [comments]
Iβve been hacking on something Iβm calling 2BlueRings, an open source project where Iβm trying to implement my own take on AI UX. Instead of just βchatting with an LLM,β the idea is to give users control over the layers above the model: Memory β conversations, notes, docs that persist across threads. Retrieval β contextual grounding from code, Jira, Confluence, Slack, GitHub, etc. Tools β plug in APIs or custom logic...
submitted by /u/asankhs [link] [comments]
Moonfish is a chess engine I developed in Python a few years ago to understand how engines work under the hood. The code favors simplicity and readability over performance optimization. The engine implements: Negamax Layer-based Parallelization: Distributes work at specific search depths (L1P, L2P algorithms) Lazy SMP Move Ordering: MVV-LVA (Most Valuable Victim - Least Valuable Attacker) Null Move Pruning PeSTO...
AI isn't all doom & gloom - it can genuinely bring joy too! Without agentic coding, I would never have had found the time to develop this silly little fan page I made! And it actually made some people happy - how great is that <3 Sure in the end only a couple hundred people checked it out, but that was well worth the effort I had to put into it. I will gladly use agentic coding for other temporary websites...
submitted by /u/r_retrohacking_mod2 [link] [comments]
I started work on a new feature of Convo-Lang I'm calling "convo make". The idea is similar to the make build system. .convo files and Markdown files be used to generate outputs that could be anything from React components to images or videos. It should provide for a way to define generated applications and content in a very declarative way that is repeatable and easy to modify. It should also minimize the number of...
Good morning, everyone. My name is Alisson Oliveira, and I am conducting research on measuring the complexity of intellectual work (Explicit Intellectual Activities - EIA), such as in the process of coding and software maintenance. I would like to know if anyone is familiar with any work similar to [1], where a dataset is used as an empirical test to compare human assessment with some scientific measurement technique....
Why I Built This App Being a full-stack engineer, I was curious about agentic applications β tools that propose and act, rather than just waiting for the next command. Instead of a showy travel itinerary robot, I asked myself: βWhatβs one piece of software Iβd be thrilled to have every morning?β
A JDK Enhancement Proposal (JEP) is a formal process used to propose and document improvements to the Java Development Kit. It ensures that enhancements are thoughtfully planned, reviewed, and integrated to keep the JDK modern, consistent, and sustainable over time. Since its inception, many JEPs have introduced significant language and runtime features that shape the evolution of Java. One such important proposal, JEP...
The Uncomfortable Truth About Our Code Here's something we rarely talk about in stand-ups or sprint retrospectives: every single line of code we write has an environmental cost. That innocent-looking commit? It triggers builds that consume electricity. Those deployment pipelines humming away in the background? They're burning through server resources 24/7. The AI models we're so excited about training? They're carbon...
Designing cloud infrastructure for healthcare isnβt just about uptime and cost; itβs about protecting sensitive patient data and satisfying regulatory requirements like HIPAA and HITRUST. When we were tasked with migrating a healthcare client's legacy workloads into Azure, we knew every decision had to be auditable, encrypted, and policy-controlled. This guide walks through how we built a compliant Azure environment...