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Imagine having 230 AI specialists at your fingertips – an editorial expert for marketing texts, a security auditor for code reviews, a UX designer for interface feedback, a Reddit community ninja, and a lease contract lawyer. All waiting to be activated by you in Claude Code. No joke. The Agency is a GitHub repository with over 154,000 stars , born from a simple idea: specialized AI agents for every conceivable task – as Claude Code prompts, organized like a real agency with departments. ...

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Feel free to tell what you plan on doing this weekend and even ask for help or feedback. Please keep in mind it’s more than OK to do nothing at all too!

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Article URL: https://jardo.dev/what-about-rails Comments URL: https://news.ycombinator.com/item?id=49839664 Points: 86 # Comments: 38

Article URL: https://nyaa.sh/reviews/mac-mini-m6-emulation Comments URL: https://news.ycombinator.com/item?id=49841285 Points: 88 # Comments: 36

Article URL: https://www.datagubbe.se/amscr/ Comments URL: https://news.ycombinator.com/item?id=49841309 Points: 18 # Comments: 2

Article URL: https://www.dawo.community/en/ Comments URL: https://news.ycombinator.com/item?id=49841563 Points: 307 # Comments: 138

Article URL: https://openai.com/index/special-projects/ Comments URL: https://news.ycombinator.com/item?id=49841893 Points: 33 # Comments: 10

Article URL: https://www.inkandswitch.com/ Comments URL: https://news.ycombinator.com/item?id=49842270 Points: 47 # Comments: 8

Article URL: https://www.ft.com/content/a96bf05a-a299-4d6a-a753-b298dd0f4016 Comments URL: https://news.ycombinator.com/item?id=49842483 Points: 34 # Comments: 21

Article URL: https://economist.com/europe/2026/09/24/the-mafia-may-be-keeping-fentanyl-out-of-italy Comments URL: https://news.ycombinator.com/item?id=49842487 Points: 57 # Comments: 47

Hello; I was working on optimizing some CUDA kernels and I thought may be it is a good oppurtunity learn langgraph as well. I created a simple C++ CUDA Test Harness and handed that to AI agents. They can run kernels, get benchmarks, and even can profile via nsight Comments URL: https://news.ycombinator.com/item?id=49842596 Points: 4 # Comments: 0

The venture firm is aligning its India fundraising cycle with its global funds for the first time, as it shifts to a shorter investment period.

cover image is from-> Image by tirachardz on Magnific 1. The Problem I was reviewing for software engineering rol es, and at some point I noticed something uncomfortable: my CV had almost no personal projects. I had professional experience, but there wasn't much I could point to and say, "I built this." That made me think about whether adding personal projects to a CV is actually important.I also think projects can help fill some gaps in your resume, especially beca...

Task #4 · TigerGraph problem statement · Hacker House Goa 2026 Fraud investigation is not just about detecting a suspicious transaction. A single transaction can be connected to a customer, card, device, email domain, billing region, previous fraud cases, and many other transactions. Finding these relationships manually can take significant time. For our project, we built an Agentic Fraud Investigation System powered by TigerGraph that combines a graph database, multiple specialized AI...

Short answer: not yet. Longer answer: an engineer's job splits in two, and a founder can already own one half. Table of contents Someone asked the right question "The AI writes the code, so who needs an engineer?" The code was never the business Run it like an office, not a chat Every part of the business, on one board "Isn't this just bureaucracy for robots?" So what's the worst that can happen? How not to fix it Vibe code the work. Engineer the office. The founder'...

Most local service websites are invisible to AI assistants. Not because they rank badly on Google, but because there is nothing on the page an LLM can safely quote. "We offer professional, high-quality Christmas lighting solutions" is not a fact. It is a vibe. An assistant answering "what IP rating should outdoor Christmas lights have?" has nothing to extract from it. I recently rebuilt the website for A1 Organizasyon, an Istanbul company that has been manufacturing and installing holiday ...

Dans beaucoup d'équipes, la mise en production tient à une personne. Elle connaît l'ordre des commandes, elle a les bons droits sur la console AWS, et elle sait quoi faire quand ça se passe mal. Le jour où elle est absente, on ne déploie pas, ou on déploie en croisant les doigts. Un pipeline de mise en production sert à sortir ce savoir de la tête d'une personne pour le mettre dans le dépôt , sous une forme que toute l'équipe peut relire, lancer et, surtout, annuler . Cet article montre ...

Multi-Tenancy in SaaS: The Architecture Decision You Can't Undo Later Most early architecture decisions in a SaaS product are reversible. Wrong framework? Migrate it. Wrong hosting provider? Move it. Wrong multi-tenancy model? That one's expensive to fix once you have real customers and real data sitting in production. If you're building a SaaS platform and haven't explicitly decided how tenant data is isolated, you've actually already made the decision by default — usually the one that's...

Adding a rich text box to an ASP.NET Core app usually means three separate jobs: embed Quill, keep the HTML out of XSS trouble, and teach model validation that <p><br></p> is empty. RazorRichText is a MIT-licensed NuGet package that does those jobs for you. You bind a string with asp-for . On POST you get sanitised HTML. The editor itself is a tag helper, so the view stays markup. dotnet add package RazorRichText It targets ASP.NET Core on .NET 10 and ...

A Practical Full-Stack Architecture for Production Apps (React, Next.js, Node.js & Express) Every "how to build a full-stack app" tutorial online teaches you how to build a to-do list. Almost none of them teach you what to do when that to-do list turns into a real product with real users, real auth, real edge cases, and a client asking "can we add X" every second sprint. This is the architecture pattern we default to when building production web apps with React, Next.js, Node.js, and ...

An LLM bill has 2 parts: rate and volume. You can adjust both. But a default request barely changes either part. You pay the list price on repeated context, on work that nobody waits for, on easy questions that a cheap model could answer, and on calls that return nothing. The State of FinOps 2026 reports that 98% of teams manage AI costs, up from 31% 2 years ago, and lists AI cost visibility as a main challenge. Managing costs doesn't explain them. This article shows which parts of that bill a...

Field note 009. A replication of a published agent-loop benchmark, and what it hides. Abstract Every agent loop has to decide when to stop. The usual options are a fixed max_iterations or letting the agent declare itself done. In June I published a small benchmark with CDV , an open-source judge for coding agents, showing that a Bayesian adaptive stop rule used 41% fewer steps than a fixed six-step budget while reaching the quality bar on 99.7% of tasks. This note replicates ...

A design system starts drifting long before anyone notices a broken component. The first warning signs are usually quieter. The website says a component supports React Native, but the native package does not export it. Storybook has a story, but the component page is missing. One checker assumes tests are required while another does not know the component is supposed to support keyboard interaction. A generator creates a component, but someone still has to remember to update sever...

A potential customer emails your client's sales address. Seconds later the message comes back: address not found , mailbox unavailable , or domain could not be reached . That customer sees the failure first. They tell your client. Your client calls you. By then nobody knows how many enquiries were lost, and a small DNS problem has become an embarrassing business problem. Exchange can be healthy. The mail server can be running. Every internal dashboard can be green. If the public ...

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