Curated signals for developers. Updated hourly.
Last week I wrote about how we stop an AI agent from paying twice when it retries a paid API call . It got 309 views and 73 comments from 11 people, and most of the comments found a real gap. This is the follow-up: what each gap was, what we changed,
Measuring AI model security gets complex fast - a growing patchwork of benchmarks targets different variables in the equation, but none replace testing against your own code and workflows.
The v0.2.0 field test for agentwatch ran 94 cases across 15 suites. 92 passed. 0 failed. It was the least trustworthy green I'd ever shipped. Not because anything was failing - because I couldn't say why it was passing. So I did a census. Of the 94 c
視覚皮質を再学習させるVRアーキテクチャ：AmblyoPunchの設計思想 最近、SanDiskがMetaの次世代VRグラス向けに公式の拡張ストレージを提供することが発表されました。スタンドアロン型ヘッドセットにおけるI/Oおよびストレージ容量の制限は、これまで高負荷なシミュレーションや詳細なユーザーログを伴う専門的アプリの展開において大きな壁となっていました。このハードウェア的な制約の解消は、リハビリテーションや教育といった「専門的トレーニング」のあり方を根本から変える可能性があります。 1.
Less than two weeks after its $11,000 headline, the configurable deep learning workstation has dropped every Nvidia option and the tinybox pro, added two Radeon AI Pro R9700 builds, and raised their price.
I've been building a predictive coding (PC) engine from scratch in C++20, with a thin Python layer on top, and just cut the first public release. Posting here for feedback and because I haven't seen many from-scratch PC implementations with real kern
AI is scaling faster than almost any technology before it. But behind every intelligent response lies a costly infrastructure, an uncertain business model, and a question every developer should be asking: Who can afford to build the future? Artificia
If you have written concurrent code with threads, you know the routine. Several threads touch the same data, so you put a lock around it. Then you add a second lock, take the two in the wrong order on a busy day, and two threads wait for each other f
TL;DR - Teams treat SFT, preference optimization, and distillation as swappable, independently-testable modules in a post-training pipeline. They aren't. The order you apply them changes the final model in ways that per-step evaluation never catches,
A web page can save an AGENTS.md into your Downloads folder without a single click. Your coding agent reads it as project rules. Here's what happened, what we saw in our own test, and the 2-minute check. Your Downloads folder is the only folder on yo
While everyone watched LiteLLM, a quieter campaign spent five weeks doing something worse: taking stolen GitHub tokens and committing a secret-dumping workflow into every repository they could reach - 13,500 planted branches across 850+ compromised a
This is a submission for the Hacktoberfest Open-Source AI Challenge: Slow and Steady . What I built If you develop with Flutter, you may know the frustration of spending half an hour debugging an error, fixing it, and then meeting the same problem ag
A couple of months ago I came across a product called Keploy on LinkedIn. I went to their site to read about it, and the pitch stopped me: it writes your integration tests for you by watching your app run. I went like -- And it did that by Not genera
This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 4 (Ghost in the Machine) What I Built Séance with a Dead Repo : paste any abandoned GitHub repo and it speaks to you from beyond the grave. It reads the repo's real commits and
A worked system design problem about the waiting time your architecture diagram forgot. Let’s say your model finishes a batch in 100 milliseconds. Someone asks whether the API can respond in 100 milliseconds too, and suddenly the whiteboard feels a l
For so many years, the PC has waited for us to open an app and tell it what to do. That habit is starting to change. Software now plans, writes, and acts on its own, and it needs serious power close to power that. NVIDIA RTX Spark is built for this s
This blog explains how to build an AI-powered content moderation system for text, images, and video while keeping human review in the loop. Introduction A social product does not fail only when the database is slow. It also fails when the feed become
Content Security Policy (CSP) is the most powerful XSS defense available to web developers. When properly implemented, it prevents injected scripts from executing even if an attacker successfully injects HTML, because the browser only executes script
Originally published on Naveed Ahmed's Engineering Blog . A routine Kubernetes rolling update. A breaking PostgreSQL schema migration. And suddenly, a production API starts returning 502 Bad Gateway errors. At 2:15 AM, an automated CI/CD deployment t
Google's powerful new Gemini 4 Argon model is now available to subscribers, but its practical benefits for everyday users may be harder to identify
A product page with no price is not a broken product page - it is a different commercial model. The markup answer is short: emit Product for the item itself, omit offers entirely, and describe the commercial terms you can actually state with addition
Originally published on my blog - read it there with the full context, code and updates . The question I could not answer: which number do I ship? My transcoding queue decides, per file, which encoder does the work: copy when the source is already ef
When a company says "let's automate support with AI", the first question is usually: "what percentage of tickets can the model handle?" That is the wrong question. The right one is: what share of wrong answers are we willing to send to customers? The
Development covered 16 Sep 2026 to 19 Sep 2026 (commit dates). Cultivation stories are about mortality. The whole point of climbing realms is that each one buys you more years, and a cultivator who stalls dies of old age. I wanted that pressure in My