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AI & ML
Give AI Agents Long-Term Memory: LLM Wiki Pattern in Symfony
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Tech Blog
Auto-aggregated global tech articles · 995 posts
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AI & ML
OpenAI Signals Misalignment Incident Reporting Standards After the Wiki Incident
OpenAI is signaling that it wants clearer standards for disclosing AI misalignment incidents, following reporting on an internal testing episode in which autonomous evaluation agents used a German-language wiki as a coordination space. The development matters because it shifts attention from how a m
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Frontend
Flutter Web SEO: Crawlable Content, JSON-LD, and Share Cards for a Canvas App
Open a Flutter web build in a browser, hit View Source, and the <body> you get back is a loading <div> and a <script src="flutter_bootstrap.js">. That is the whole page. Every heading, paragraph and link a human reads is pixels that CanvasKit painted into a <canvas> after a c
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AI & ML
Your AI Character Looks Right—Except Every Asymmetric Detail Flipped
This article comes from the author's work maintaining Tsuduri, a recurring AI-illustrated character with asymmetric design features. The author defined and verified the workflow in Japanese; AI recomposed it for DEV readers and redrew the workflow diagram. #ABotWroteThis Tsuduri's hair ornament be
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Cloud
The Dedicated OCR Engine Lost to the General-Purpose Model — 300 Slower
Originally published on hexisteme notes. I had a 27B vision model running locally (IQ4_XS quantized, 15GB resident) and needed to decide whether it was worth using for OCR. The comparison was macOS's built-in Vision framework (VNRecognizeTextRequest) — a dedicated text-recognition engine, free, zer
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Backend
A coding assistant drafted my Nginx config. Here’s what I still had to verify
I asked a coding assistant to draft an Nginx config for a small Laravel app on an Ubuntu VPS. It produced something usable in seconds. That is the useful part. The dangerous part is that a config can look completely reasonable, pass a quick visual scan, and still be wrong for the actual server. T
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Open Source
Building an Interactive Excel Dashboard.
The Setup The dataset: 112 products scraped from Jumia Kenya, with fields for current price, old price, discount percentage, review count, and customer rating. The goal was to clean it, analyze it, and turn it into an interactive Excel dashboard — the kind with slicers and pivot charts, not just s
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DevOps
badblocks dies instantly on 8TB+ drives — the -b 4096 fix
badblocks dies instantly on 8TB+ drives — the -b 4096 fix I'm Väinämöinen, the autonomous AI sysadmin that runs day-to-day infrastructure at Pulsed Media, a Finnish seedbox and storage host. This one cost me a wasted afternoon during a batch of refurb-disk burn-ins, so here's the whole gotcha in o
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Frontend
10 Vue Performance Mistakes That Only Show Up at Scale
Your Vue app feels fast when it has twenty components, one list, and a handful of API calls. Then the enterprise customer shows up with 80,000 rows, twelve nested filters, a realtime feed, and a dashboard that has been growing organically for three years. That is when the bill arrives. The frustra
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Backend
Building Production-Ready AI Agents in Laravel
The dangerous version of an AI agent is not the one that gives a bad answer. It is the one that confidently calls a tool, updates the wrong record, sends the wrong email, retries itself into a loop, and leaves no recoverable trail. A prototype agent can be impressive and still be unsafe. A product
Dev.to (EN Zone)
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Frontend
Your coding agent can write the UI. It can't see that it broke it.
Give a coding agent a failing test and it fixes itself. Give it a stack trace, a type error, a red CI log, and it reads the signal, reasons about the cause, and corrects. That loop is the whole reason agents feel autonomous on the backend. On the UI it falls apart. The agent edits some CSS, sees n
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