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ProgrammingDEV Community ·

Building An AI-Enabled Automotive Smart Factory: From Shop-Floor Data To Real-Time Intelligence

Building An AI-Enabled Automotive Smart Factory: From Shop-Floor Data To Real-Time Intelligence Building an AI-enabled automotive smart factory is usually a problem of machine-learning approaches. It's often a problem of data integration before anything else. An automotive factory has PLCs, robots, sensors, MES, ERP, RTLS, RFID, AGVs, quality systems, and, crucially, the vehicle genealogy databases run concurrently. While each of these systems yields useful information, you might be surprised at how valuable it often is to tie that information together. This article addresses a practical archi

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ProgrammingDEV Community ·

Building enterprise-fixer: A Local AI Code Auditor by 'Hirdesh Gagan'

As developers, we spend a lot of time debugging code, searching for hidden logic errors, and fixing performance bottlenecks. While web-based AI tools are helpful, copying and pasting codebase files back and forth into browser tabs is tedious and poses privacy concerns for non-public code. To solve this, I built enterprise-fixer — a privacy-first, CLI-driven local AI code auditor and auto-fixer! 🚀 📦 Install via PyPI: pip install enterprise-fixer https://github.com/hirdeshgagan/enterprise-fixer

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ProgrammingDEV Community ·

Dynamic Programming Interviews and the Meaning of a State

Dynamic Programming Interviews and the Meaning of a State Define the state and the stopping point Let dp[a] mean the fewest coins needed to make exactly amount a using the permitted denominations. The word exactly matters. A solution that exceeds the target does not satisfy this problem. The base case is dp[0] equal to zero because making zero requires no coins. Other states begin as unreachable.

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ProgrammingDEV Community ·

The Subnet Overlap Nobody Saw Coming (and the 30-Second Check That Catches It)

Two offices merge. Both teams have been happily using 10.34.x.x for years. The network team stitches the sites together with a new VPN tunnel, updates the firewall, and goes home. Three days later the help desk floods with tickets: the build server answers pings but not SSH, a printer works on Tuesdays, and one department swears the CRM "loads eventually, if you refresh five times." Nothing is on fire. Everything is intermittent.

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ProgrammingDEV Community ·

Container Registries and Orchestration: 57,017 Harbor and 78,059 Consul Fingerprints

Container Registries and Orchestration: 57,017 Harbor and 78,059 Consul Fingerprints Two sides of the same deployment Container registries distribute images to the hosts that run them. Service discovery and configuration systems tell those hosts where everything else is. Together they describe an application platform's internal map, and their internet exposure is worth measuring separately because each exposes a different capability. Queried on 25 September 2026 through the ZoomEye SDK with application fingerprints: app="Harbor" returned 57,017 matching assets, app="Consul" returned 78,059, an

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ProgrammingDEV Community ·

Replacing Screaming Frog with an API: A 10,000-URL Agency Workflow

Screaming Frog SEO Spider is the most-installed SEO tool in agency workflows. Most audits we've seen referenced over the past decade started with a Screaming Frog crawl. It's a good piece of software. It is also a desktop application that has to be running on someone's laptop, that has to be configured per-project, that has to be re-run when anything changes, and that produces a CSV which then has to be opened in Excel and triaged by hand. This post is for agencies and in-house teams asking the obvious question: what does the API equivalent look like, and is it actually cheaper?

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ProgrammingDEV Community ·

How would you robustly assert the presence and content of a transient UI element that appears and disappears rapidly in

👻 Playwright Challenge: Testing Transient UI Elements? Real-time web applications (dashboards, chat, stock tickers) feature UI elements that frequently appear, move, or vanish within milliseconds. Traditional Playwright assertions like toBeVisible() or toHaveText() often fail here due to race conditions. The most robust approach uses Playwright's expect.toPass() to retry an assertion block until success, combined with locator.all() for dynamic DOM re-evaluation. This "catches" the transient element during its brief appearance.

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ProgrammingDEV Community ·

Zmanin-WP: Common Codes, part 1

If you’ve been following this blog, you’ll know that I’ve been working on my Zmanim-WP plugin for WordPress for a while now. This blog series is designed to help you dig deeper into the plugin and understand what it does, how it works, and whether it’s right for your needs. There are a four shortcodes that help calculate times related to the start of the day. Sunrise Alot hashachar Sof Zman Kria Shema Sof Zman Tefilah I’ve discussed some of these times in other parts of this series and I want to keep the focus of these blogs on HOW to use each shortcode. Feel free to let me know in the comment

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ProgrammingDEV Community ·

Hi, I'm Anatolii. I'm building things on my own.

I'm a solo founder, engineer, cyclist, photographer and unapologetic cat person. I've been in IT since 2018, but I've never been particularly good at staying inside one box. Since 2022, my wife, our cat and I have been travelling around the world. With the world getting a little crazier every year, we decided to see more of it while we could. We've lived in Southeast Asia, Central Asia, and now we're in Georgia.

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ProgrammingDEV Community ·

Your Social Network: When "Optimize It" Is a Trap

Most DSA write-ups hand you the finished solution and work backwards. That's not what an interview feels like. In an interview you get a vague verbal problem, you ask questions, you say something slightly wrong, you recover, and the interviewer quietly grades how you got there. So this post is a transcript. The problem is Your Social Network from GeeksforGeeks — Medium, tagged Graph.

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ProgrammingDEV Community ·

Why the Eventbrite Events Scraper Drops Records Past the 500 Item Cap

Extracting event data from Eventbrite presents unique architectural hurdles that go far beyond basic HTTP requests. While scraping simplifies data extraction by bypassing login requirements, developers frequently run into empty datasets, silent payload truncations, or unexpected integration failures. These issues rarely stem from code bugs. Instead, they are the direct result of conflicts between the Actor's input schema and the underlying Apify platform mechanics. To build reliable data pipelines, backend engineers must understand how input parameters interact, how the platform handles long-r

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ProgrammingDEV Community ·

RepoDNA From v1.0.0 to v1.2.0: How the Project Evolved in Four Releases

From the first stable release to GitHub Packages, optional evidence-grounded AI, a web container image and a better mobile experience — this is the RepoDNA journey from v1.0.0 to v1.2.0. docs/media/promo/launch-16x9.png opensource rust devtools softwareengineering On September 27, 2026, RepoDNA reached its first stable release. On October 5, 2026, it reached v1.2.0. In between, the project went through four releases that each added another layer to the same idea: Understand your codebase. See its DNA.

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ProgrammingDEV Community ·

Skip the manual tap-through: agentic CI for Expo apps with TesterArmy

This is a guest post from Oskar Kwaśniewski, CTO and co-founder of TesterArmy, where agents test mobile apps, web apps and websites like real users. A pull request sits in the queue for two days. The diff is small, the description is clear, but nobody has five minutes to open the simulator and tap through the screen that changed. Eventually it merges anyway, and the first person to actually exercise that flow is a user in production. Last week Expo showed what happens when you put an agent inside EAS Workflows: a GitHub issue labeled "repro" becomes a pull request with a fix and recordings tha

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ProgrammingDEV Community ·

NixieFX vs three.quarks: the same 160-particle burst in one Three.js scene, measured

If you're adding particle effects to a Three.js game, three.quarks is the library most people find first. NixieFX is a newer option that ships a Three.js runtime. "NixieFX vs three.quarks" comparisons usually stop at feature lists, so I built the same burst in both, put them in the same scene, and measured four things: whether a run repeats exactly, draw calls, CPU time per update(), and how much each adds to a production bundle. The results go both ways, and one of them isn't flattering to NixieFX. Note: I'm involved with the NixieFX project.

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