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Nstrike — Blockchain légère (MVP)

Nstrike — Blockchain légère (MVP) 📖 Description Nstrike est une implémentation from scratch d'une Blockchain de type Ethereum, écrite entièrement en C++17 moderne sans aucune bibliothèque externe (ni OpenSSL, ni Boost, ni secp256k1). Le projet vise à démontrer le fonctionnement interne d'une Blockchain complète : cryptographie, machines virtuelles, consensus Proof-of-Work, comptes, jetons ERC-20, RPC JSON et CLI. Auteur : Martial Zinsou Version : 0.1.0 (MVP...
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Ophthordle - a new weekly game to test your diagnostic skills!

Ophthordle’s rise signals something important for health-tech builders: diagnostic gamification works because it leverages pattern recognition, feedback loops, and low-friction repetition. What if we applied those same UX principles — not to identifying visual deficits — but to correcting them? Amblyotube (Meta Quest) does exactly that. Built with WebXR-like rendering pipelines and precise inter-pupillary distance calibration, it delivers asynchronous visual stimuli to each eye while main...
How To Create a macOS 27 Golden Gate USB Stick Installation Drive
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How To Create a macOS 27 Golden Gate USB Stick Installation Drive

Introduction YouTube Video Requirements Downloading the macOS 27 Golden Gate Installer Creating the USB Installation Drive Introduction Hi there. In this article, I'll be going over how you can create a macOS 27 Golden Gate installation drive using a USB stick. Once created, it can be used to upgrade, install or reinstall macOS 27 on a supported Mac. YouTube Video If you would prefer to see this article in video form, I have a YouTube video for it below:...
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Multi-Agent Systems: 4 Tests for When One Agent Beats Five

A team at Anthropic built a research system where one lead agent hands work to several subagents running in parallel. On their internal research eval it beat a single agent by 90.2%. In the same write-up they said it burns about 15 times the tokens of a plain chat, and that token usage by itself explained 80% of the variance in performance on the BrowseComp benchmark. Put those two numbers next to each other and the headline changes. Five agents did not win because five heads think better ...
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Debugging Expo: Fixing Node v18 Incompatibilities and Network ETIMEDOUT Errors on Linux

Setting up a fresh mobile workspace can sometimes feel like running an obstacle course. If you’ve ever run npx create-expo-app only to be met with a wall of engine warnings, random ReferenceError: File is not defined breaks, and persistent ETIMEDOUT network failures, you are not alone. Here is exactly why these errors happen on a Linux environment and a bulletproof roadmap to fixing them. The Culprit 1: Node.js Version Mismatch Modern scaffolding tools move fast. The ...
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How to Build a High-Converting Shopify Store Without Writing Tons of Custom Code

Building a Shopify store doesn't always mean writing hundreds of lines of Liquid, JavaScript, and CSS. The goal is to create a store that is fast, mobile-friendly, easy to use, and focused on conversions. Here are a few practical ways to do it. Start With a Flexible Theme Choose a theme with reusable sections and customization options. This lets you create: Custom homepage sections Product layouts Promotional banners Collection sections FAQs and testimonials You can ...
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Think smaller: why specialist SLMs beat frontier models in production

Most agent tasks do not need a frontier model. The subtasks inside a production agent are largely repetitive and narrowly scoped, and a small language model of 1B to 8B parameters, fine-tuned on your production data, beats a frontier model on cost, latency and accuracy for that job. Serving a 7B runs roughly 10 to 30x cheaper than a 70B+ model. Originally published at overmindlab.ai . Frontier models are overkill for most agent tasks. Specialised small language models beat them on cost...
HackerNews

I said no and Apple said yes

Article URL: https://dbushell.com/2026/09/22/apple-intelligence/ Comments URL: https://news.ycombinator.com/item?id=49797982 Points: 281 # Comments: 205
HackerNews

Verda (Finland) raises $189M in Series B

Article URL: https://verda.com/blog/what-189m-in-funding-unlocks-for-verda-customers Comments URL: https://news.ycombinator.com/item?id=49798597 Points: 21 # Comments: 7
HackerNews

Type Punning in C and C++

Article URL: https://blog.pwkf.org/2026/09/21/correct-type-punning-in-c.html Comments URL: https://news.ycombinator.com/item?id=49799577 Points: 6 # Comments: 0
Treat streamed LLM output as an uncommitted draft
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Treat streamed LLM output as an uncommitted draft

I'm a developer working on Paramour.chat, an LLM roleplay app where, of course, exchanges need moderation. The annoying part is that all those checks take time. A few seconds of dead air may not sound like much, but in a chat they feel endless. Streaming keeps the conversation moving, but it creates a nastier problem: once a word appears in the browser, it has crossed the network, been delivered, and may already have been read by the user. I tried two good approaches: buffer the whole reply u...
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Best Portkey Alternatives in 2026: Top 3 Open-Source AI Gateways

Portkey became one of the best-known AI gateways by giving teams a single control plane for routing, observability, and guardrails across LLM providers. In 2026 it changed hands. Palo Alto Networks announced its intent to acquire Portkey on April 30, 2026, and the deal closed at the end of May. Portkey will now serve as the AI gateway for Palo Alto Networks' Prisma AIRS platform. Palo Alto has said it will keep supporting existing and new Portkey customers, and for large enterprises that alr...
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Offline-First React: TanStack Query + IndexedDB Patterns

Introduction “I added an item in aisle 5, closed the app, and it synced automatically on the bus ride home.” That one sentence describes the behavior users notice and remember: writes that survive crashes, restarts, and flaky networks. This article shows a practical, production-tested 3-step recipe to get durable, replayable optimistic writes using TanStack Query (React Query), Dexie (IndexedDB), and a small outbox. The pattern centers on treating TanStack Query as a reactive cache over y...
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Our deploys were also our restart policy

At four on a Sunday morning an internal reconciliation service went down. All four pods were killed for memory inside twenty minutes of each other, came back, and were killed again a few hours later. The service had last been deployed in February. Seven months of continuous uptime, and it was the only thing in our estate that had any. The cause was a leak of about forty megabytes per pod per day. We create an SDK client per request, and each client registers a listener on a static registry th...
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They Flinched and You Started Taking It Back

You prepared it. One small, specific, genuinely useful thing. You said it kindly. And then their face changed, just slightly, and the room went still, and you heard yourself say it is honestly not a big deal, everyone does it, ignore me, it is fine. Watch that moment closely, because it is not generosity. It is you making your own discomfort stop. Look at what it leaves them holding. They know you have a concern about them. They no longer know what it is, or how serious, or whether you mea...
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Glasshouse v0.1 Is Out: A Memory Benchmark for AI Systems

Glasshouse v0.1 is out. It's a long-term memory benchmark for AI systems, and it's what my last two benchmark posts here were about. If you haven't read those, here's the short version. Why I built it Going through developer communities, I kept running into people raising the same problems with memory benchmarks. The numbers a vendor publishes don't match the numbers someone else measures, and swapping the model that does the grading moves the results more than the gap between th...
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Integrating UAE Peppol E-Invoicing with Odoo — What Developers and Implementers Need to Know

UAE mandatory e-invoicing went live in pilot phase on 1 July 2026. Every UAE VAT-registered business sending B2B invoices must now route them through the UAE Peppol network as PINT AE XML. For Odoo developers and implementers working with UAE clients, this creates a specific integration challenge — Odoo does not ship with a native UAE Peppol access point. The transmission layer has to be added externally. This post covers what the UAE Peppol infrastructure looks like technically, what PINT AE...
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Jev vs Laya: The Same AI Idea, One Closed and One Open

A new category of AI model landed this month, and it arrived twice at once. First came Jev, a hosted product from TypeSafe AI. Weeks later, an open-source model called Laya appeared, doing the same job and claiming to be faster. If you route support tickets, filter spam, or score risk with a large language model today, this comparison matters to your bill. Both models come from the same observation: most production AI pipelines do not need text generation. They need a label. Your LLM burns 50...
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Why I Built CartLens: An AI Receipt Scanner for Local Price Comparison

Online shopping has trained us to expect price transparency . Before buying a laptop, pair of headphones, or household item online, we can open several tabs, compare sellers, review price history, and decide whether a deal is actually good. In a physical store, that visibility largely disappears. We see one shelf price, at one location, at one moment—and usually make a decision without knowing what nearby shoppers paid for the same product. That gap is why I built CartLens: an AI receipt s...
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Detection Accuracy Failing? 9 Troubleshooting Directions from Camera to Algorithm (Part 1: Hardware & Physical Layer)

If you work in industrial quality inspection, you've probably experienced this frustrating moment: the system runs perfectly in the lab, but once deployed on the production line, it "crashes" — or the equipment passes acceptance testing flawlessly, yet three months later the miss rate starts to spike. In machine vision, detection accuracy is never determined by a single link — from camera selection to algorithm parameters, any weak point can cause the entire precision to "collapse." This a...
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Caching: Why Faster Reads Create Consistency Problems

A dashboard request can look harmless. The problem appears when hundreds of users ask for the same expensive data at the same time. In Software Engineering Lab 04, the scenario is a workshop dashboard. Without caching, every request runs six database queries with joins and aggregations. 500 concurrent users ↓ Dashboard request ↓ 6 queries + join/aggregation per request ↓ 3000 total DB queries The first instinct is easy: put Redis in front o...