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post 6: You run containers every day. But have you ever asked yourself this uncomfortable question: If one container gets compromised… can it break out and take down the entire host? Most people assume containers are “secure by default.” They’re not. They’re isolated by default — and isolation is not the same as security. This post explains how Docker security actually works under the hood, what the real risks are, and how to harden your containers properly. ...

GitHub just announced stacked pull requests in public preview. Instead of reading the changelog and moving on, I decided to actually try it on this same portfolio repo. The problem it solves I've done the manual version of this before: branch off a big feature, realize it's too large to review in one shot, and split it into a chain of branches that each target the previous one. It works, but every rebase is manual, and if the bottom branch changes, you're rebasing the whole cha...

Every AI model has a knowledge cutoff - but the official date rarely captures the whole story. The Hidden Gap Between Training and Knowing Model providers list a knowledge cutoff date, but that figure is deceptive in practice. According to research on model training practices, training data isn't sampled evenly across time, and content published close to the cutoff is underrepresented because the web hadn't fully indexed, discussed, and linked to it yet when the training crawl ra...

Most tutorials for building a support agent start with an OpenAI key and a vector store on someone else's cloud. I build these sovereign AI support agents for French online shops, and for a lot of them that starting point is a non-starter: the customer data has to stay in the EU, on infrastructure they can point to, running a model whose weights they can keep. This post is about the parts of the build that change once "stay in the EU" is a hard requirement instead of a nice-to-have. I run o...

An online shop's support inbox is really two inboxes wearing the same chat bubble. One is the shopper who has not bought yet and is deciding whether to. The other is the customer who already paid and now needs something to go right. They arrive through the same widget, and the cheapest mistake you can make is answering both with the same agent behavior. I build AI support agents for e-commerce, and separating these two has done more for results than any model upgrade. Here is how we think a...

A resume is designed to answer one question: "What has this person done?" It lists education. Skills. Projects. Certifications. Experience. Achievements. In one or two pages, it summarizes years of someone's professional journey. But every resume leaves something important out. It tells you what someone has achieved. It doesn't tell you what it took to achieve it. The Story Between the Lines A recruiter sees a degree. They don't see th...

Here's a workflow that has quietly become normal in 2026: you open a terminal, type claude (or fire up Grok, Kimi, or whatever agent you run), and start delegating. The agent reads files, edits files, writes files. You supervise. And here's the part nobody talks about: the supervision experience is terrible. Your agent lives in a terminal window. Your files live in Finder, or your editor's sidebar. Your agent's output (plans, reports, summaries, README updates) lands on disk as Markdow...

archiving dead lettered events asynchronous event processing automated webhook retry policies batch replaying dead letters dead letter queue design dead letter queue retention policy dead letter queue UI debugging failed webhooks DLQ architecture DLQ monitoring alerting DLQ re-driving webhooks enterprise webhook platform event driven architecture DLQ event-driven message recovery event persistence and recovery event replay workflow exponential backoff webhook fault tolerant webh...

Most AI projects run into the same problem: a capable model, a motivated team, and a data set that has accumulated for years without cleanup. The wrong answers usually don't come from the model — they come from the data fed into it. Teams often assume the fix is "a better model." It almost never is. The model is rarely the problem — the data it receives is. Here's a rule that's hard to accept but always holds: AI doesn't fix your data. It repeats it. If documents contradict each other, the...

This is a submission for Frontend Challenge - Comfort Food Edition, Perfect Landing What I Built Rannaghar (রান্নাঘর, "the kitchen") is a landing page for a fictional sixty-two-year-old Bengali home kitchen in Hindustan Park, Kolkata — the restaurant that serves the dishes Bengal saves for its favourite people: kosha mangsho, sorshe ilish, nolen gurer payesh. It's a full single-page experience: hero with an animated clay handi on a chulha (pure CSS + SVG strokes), a ...

Most UI decisions assume the user has a full keyboard, a mouse, and a touchscreen to work with. I didn't really think about what happens when none of that is true until I started getting messages about my Morse code translator from a different kind of user than I'd designed for — people using assistive switches, where the entire available input is a single short-press or long-press. That constraint turned out to be a genuinely interesting design problem, and it changed how I think about input...

Remember the time before arrow functions, when var was everywhere and JavaScript code looked noticeably different from what we write today? Recently, I stumbled upon some old code in a custom CMS interface that looked genuinely ancient, and it made me think of all those obscure JavaScript patterns that used to be extremely common. The former self Losing the execution context was a very common problem back then. JavaScript's runtime binding of this has always been a source of co...

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Article URL: https://support.claude.com/en/articles/16266773-how-claude-marks-ai-generated-content Comments URL: https://news.ycombinator.com/item?id=49250109 Points: 132 # Comments: 94

Article URL: https://everycube.alen.is/ Comments URL: https://news.ycombinator.com/item?id=49251179 Points: 169 # Comments: 53

Article URL: https://www.effort.news/uk-lobby Comments URL: https://news.ycombinator.com/item?id=49251411 Points: 456 # Comments: 337

Article URL: https://code.call-cc.org/releases/6.0.0/NEWS Comments URL: https://news.ycombinator.com/item?id=49251702 Points: 164 # Comments: 17

Article URL: https://github.com/antirez/h3.c Comments URL: https://news.ycombinator.com/item?id=49252179 Points: 214 # Comments: 30

Article URL: https://www.floppydisk.com/recycle Comments URL: https://news.ycombinator.com/item?id=49252462 Points: 53 # Comments: 22

Article URL: https://hypercritical.co/hyperspace/ Comments URL: https://news.ycombinator.com/item?id=49252493 Points: 65 # Comments: 45

Article URL: https://github.com/activeing123/mcptoon Comments URL: https://news.ycombinator.com/item?id=49253721 Points: 30 # Comments: 20