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Xiaomi's First NAS Launches at 2,699 RMB: An Industrial Designer Looks at Smart Storage Design

Xiaomi's First NAS Launches at 2,699 RMB: An Industrial Designer Looks at the Design of Smart Storage Xiaomi finally made a NAS. Starting at 2,699 RMB, the Xiaomi Smart Storage is now open for reservation—a 4-bay desktop NAS with dual 2.5G Ethernet ports and Docker support. The body: matt...

Asher Hu 3 days ago

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DEV Community · Technology

The Context Packet: The Right Architectural Coding Agents

A coding agent with access to your entire repository does not necessarily understand your system better. It may understand less. Because a large repository may contains obsolete code, and decisions that were never written down. Giving an agent more files increases the amount of text it can inspec...

Majdi Zlitni 3 days ago

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It Passed Every Test. That's Why It Can't Ship Yet.

My order-reading LLM passed the 29-question exam. Zero fatal errors. The model is chosen. So — ship it? No. And the reason is the most important thing in this series. The exam has holes. I am the holes. The questions, the answer key, the product catalog — I made all of it. Which means...

John Green 3 days ago

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testing updating canonical url without deleting tags.

Nick Taylor 3 days ago

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Our AI reviewer invented a request. Our producer retried 245 times.

We run ~100 LLM agents unattended on local models. Last week we found one document that had been rewritten 245 times in 5 days — every attempt rejected. A sibling document: 225 times. Combined, about 470 wasted generations, all burned on the same two files. Here is the autopsy, with the actual numb...

GX Cafe LLC 3 days ago

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The Model That Costs 3x More Won by Exactly One Question

I gave the same 29-question order-reading exam to two models. A cheap one (Haiku 4.5) and one that costs about three times as much (Sonnet 5). The result Cheap model 28 of 29 questions clean Expensive model all 28 executed questions clean Fatal errors zero for both...

John Green 3 days ago

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Predicting Shareholder Meeting Failure: How AI Quantified Risk from a Single Sentence in Past Minutes and a 5x Increase in Share

Hey, it's your friendly neighborhood dev-grandpa here, still chugging along building AI agents on weeknights and weekends. Today, I want to share a story about how one of my custom analysis bots dug up a significant risk from a completely unexpected angle. I'll walk through how the AI quantitativel...

oji - building AI in public 3 days ago

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Your Data, Your Privacy: Building a Collaborative Allergy Predictor with Federated Learning

We live in an era where our smartphones know more about our health than we do. From heart rate variability to sleep patterns, personal devices are goldmines for predictive health models. However, the "Health Data Paradox" remains: we want smarter AI to predict things like allergy triggers, but we do...

Beck_Moulton 3 days ago

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Architectural Breakdown: We fixed the eval platform we're competing on: a TypeError that crashed thr

We Fixed the Eval Platform: The TypeError That Took Down Three Benchmark Pipelines At 3 AM, Sentry lit up with TypeError: Cannot read property 'map' of undefined. Three benchmark pipelines crashed. Not a memory leak, not a segfault, but a race condition hiding behind a TypeError, turning...

Muhammad Hammad 3 days ago

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OzBrain's Shared Memory Architecture: How Multi-Agent Teams Avoid Re-Explaining Context Across Sessions

When you run multiple agents across Claude, ChatGPT, and Cursor, each one starts from scratch unless you manually paste context into every session. OzBrain solves this by exposing a shared knowledge substrate that agents read and write through the Model Context Protocol (MCP). The system routes cont...

mech.app 3 days ago

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Architecting a background-service-based sound manager that survives Android's Doze mode

It was the final ten minutes of a high-stakes client presentation. I was mid-sentence, explaining a complex system migration, when my phone erupted with a loud, aggressive ringtone. The room went silent, but my phone did not. I scrambled to silence it, accidentally hitting the volume buttons while f...

Haseeb 3 days ago

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Construyendo un recomendador de emparejamiento de expertos

La forma del problema Un directorio es una superficie: el miembro lo abre y adivina. Un recomendador es una superficie de empujar: el sistema propone y tiene que justificarse. La justificación es la parte difícil, y es donde vive la estadística. Tres restricciones hicieron esto distinto...

Franchesco Romero 3 days ago

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Building PickTool with Next.js and Laravel: Lessons from Creating a Software Discovery Platform

Finding software is easy. Finding the right software is not. Search for almost any category—email marketing, CRM, productivity, design, or AI—and you will find hundreds of options. Every product presents itself as the best choice, while many comparison articles repeat the same features without expl...

Doaa F M Abed 3 days ago

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Planning Over Execution: Lessons from 157 Agent Runs and the Rise of Orca-Style Agent Fleets

Originally published on tamiz.pro. The field of AI agents has moved rapidly from single-model executors to complex multi-agent orchestration. But after running 157 agent deployments across diverse task domains, one pattern emerged with striking consistency: planning quality predicts success far bet...

Tamiz Uddin 3 days ago

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My Caption Width Guard Passed Every Test. It Was Measuring Text the Renderer Never Drew.

Originally published on hexisteme notes. A user complaint sent me into a caption pipeline: "the subtitles cut to two words in places where the sentence doesn't make sense." The fix I shipped for that complaint introduced a second bug, one word narrower and easy to miss, because the code that measur...

John 3 days ago

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Four Alarm Slots, Three Failure Modes: Building a Nightly Drain That Survives Sleep, Races, and Timeouts

Every night my Mac quietly rewrites my long-term memory. Not metaphorically — a shell script drains that day's Claude Code conversation logs into an Obsidian vault, commits them to a private repo, and leaves a briefing on my desktop. It took three real outages to make it reliable. This is the script...

Lily 3 days ago

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ESP32 + Python: From Microcontroller to IoT

ESP32 + Python: From Microcontroller to IoT Artcal 0: Introduction When it comes to transferring data from one place to another, things can sometimes become tricky, especially when communication happens between the hardware and software levels. In this article series, I would love to share the exp...

Janada Pelahara 3 days ago

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99% token accuracy, zero learning. Field notes from fine-tuning vision models with RL.

Over the past year I have been fine-tuning open vision-language models - 9B dense up to a 35B mixture-of-experts - with supervised fine-tuning and GRPO-style reinforcement learning on verifiable rewards. Most of what I learned was not about algorithms. It was about the ways a training run can look h...

Rickesh T N 3 days ago

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Log Level Design and Rotation: Why Apps Use DEBUG/INFO/WARNING/ERROR

Open any application log and you'll see the same kind of message tagged with different labels: DEBUG, INFO, WARNING, ERROR. Why not just write down everything that happens, in one uniform stream? This post looks at what log levels actually do, and at the companion problem every long-running app even...

Susumu Takahashi 3 days ago

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Same tokens. Different DNA. Why a Texas notebook must not become a parlor.

Most agent "redesigns" are mood boards. Navy glass. A fake dashboard. The dates and proper nouns already in the file never make it onto the page. /reimagine-it is the opposite contract: extract this source's nouns, dates, and colors, then ship a real artifact (webpage, infographic poster, SVG, Thre...

K Merchant 3 days ago

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How we run five coding agents side by side in one window

I build NestMux, a desktop app that runs Claude Code, Codex, Gemini CLI, Copilot and OpenCode in a grid of real terminals, each with its own account and its own git worktree. This is how it works inside, including the parts that are heuristics wearing a confident UI and the parts that do not survive...

Eliseo Fernandez Suarez 3 days ago

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I pushed the badBANANA Threat Observatory public

This was one of those projects I had wanted to make for a long time, even before I had a very clear reason for it. Over the years, if you spend enough time around security, you keep seeing threat maps. A lot of them are visually impressive. They pull you in immediately. Lines moving across a globe,...

GnomeMan4201 3 days ago

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Trusted AI Agent Transactions, Part 4: PingAuthorize Policy Decisions

Making policy decisions with PingAuthorize Part 3 established the transaction context and immediate caller identity. Authorization still needs to answer a separate question: may this verified combination invoke this target and tool for this purpose? PingAuthorize is integrated as a remot...

DarkEdges 3 days ago

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Trusted AI Agent Transactions, Part 3: SPIRE Workload Identity

Binding a logical agent to a real workload with SPIRE Part 2 used a SPIRE JWT-SVID as the actor token in PingFederate token exchange. That proves more than a caller-supplied agent name, but it helps to understand exactly what it proves. A logical agent describes an approved application r...

DarkEdges 3 days ago

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