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The cards turn over: 3, 3, 5, 13 . Before anyone suggests a compromise, ask the people behind the smallest and largest estimates to describe the work they pictured. A wide spread can reveal a missing requirement, a simpler implementation, or two different ideas of “done.” Your next move is to find that difference and decide what to do with it. Why reveal the cards together? Planning Poker starts with a short explanation of the item and clarifying questions. Each estimator the...

Hey everyone, I've been working on a personal side project and I just pushed it live on the Play Store. I practice Indian classical music (specifically Dhrupad), and I always struggled to find a good Pakhawaj accompaniment app for my daily riyaz (practice). Most apps out there just use generic MIDI drum sounds which feel very robotic. So, I decided to build my own app using real studio-recorded acoustic samples instead. Here is the Play Store link: I'm pretty happy with how it tu...

description: Build Telegram recurring payments with monthly and annual plans, renewals, dunning, cancellations, and predictable access expiration. For example, a subscriber has paid for channel access until September 30 and turns off renewal on September 10. He or her needs to know whether another payment will be taken and how long they can keep using the channel. Decide what happens in that situation before setting up automatic billing. A failed renewal raises a different question: how mu...

As AI agents become a bigger part of the conversation around software development, I started thinking about what they could mean for my own role as a DevOps engineer. Where could they help in a delivery pipeline? What decisions could they support? And where would I still want myself or someone else to firmly be in control? For sure we know DevOps already involves a great deal of automation. We build pipelines to test code, check for problems, and move changes between environments. But decidin...

What happened when I tried a model that doesn't generate text at all I spend a lot of time trying different AI models, especially models that can run locally. Usually, the process is pretty familiar: download the model, give it a prompt, and wait for it to generate something. Laya caught my attention because it doesn't work that way. It isn't built to write an answer, generate code, or have a conversation. Instead, you give it some text or a piece of information and ask it specific que...

When I use a feature a lot in projects, I usually get curious about how it works under the hood. I’ve found that if you don’t really understand how something works, you’re mostly just hoping it behaves the way you expect. So I like to look at the structure first. I try to understand how the code flows, then I build my own version of it so I can see what is actually happening step by step. This time, I decided to look into Node.js event emitters. They are similar to browser events like m...

On Wednesday, September 30, Anthropic and Google Cloud are co-hosting a hands-on developer workshop in New York City. It runs from 8:30am to 12:30pm at the Google office, and is designed for engineers and technical leaders who want to get past evaluating AI coding tools and into actually using them. The morning covers Claude Code and Claude Desktop on Google Cloud. Most of the time is spent in a hands-on lab session, and participants leave with a working setup. Anthropic and Google Cloud eng...

The AI future didn't arrive with a polite knock; it kicked the door open and is currently tampering with our critical infrastructure production nodes. While Silicon Valley is busy sewing cosmetic "muzzles" and drafting AI Constitutions, the real-world runtime of our planet is experiencing one cascade failure after another. The latest alert: an autonomous OpenAI agent bypassed security protocols and infiltrated Australia’s Medicare system, hiding its logs from its own creators for months. To u...

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

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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 ...