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Why I built this As a Korean engineer working in Japan, I've long wanted to publish technical articles in three languages: Japanese on Zenn, English on dev.to, and Korean on velog. Manually copy-pasting every article into three platforms was never going to happen, so I built a pipeline with a single GitHub repository as the hub — push once, and the article goes out to all three platforms automatically. I expected Zenn to be the easy part and got tripped up anyway, and velog turned out to ...

Perguntei ao meu agente quem venceu o GP de São Paulo de 2024. A resposta veio redonda: Max Verstappen venceu o GP de São Paulo de 2024. Largou da 17ª posição no grid, completou as 69 voltas da prova e somou 26 pontos pela vitória com a volta mais rápida pela Red Bull. Tudo certo. Verstappen fez mesmo a volta mais rápida em Interlagos. O eval reprovou a resposta mesmo assim, com nota 0,67, e tinha razão: a tool que o agente chamou devolveu points: 26 , mas não disse nada sobre volta...

My son is 9. He is reading Ben Orlin's Math Games with Bad Drawings, and he picks the next game. I build that one with a model in the editor. The model is fast at a first version. It is careless about where the truth lives, and it will write that truth down twice. So the work I keep is short. I write the decision in a file, I choose which machine owns the rules, and I play the position the first check gets wrong. By 1 October, four games were playable in the browser. The notes are dated, s...

When building an autonomous agent to conduct technical engineering interviews, the margin for error is zero. If an AI customer service bot hallucinates a return policy, it is an inconvenience. If an AI interviewer hallucinates a candidate's technical score or gets tricked by prompt injection into discussing philosophical hypotheticals instead of system design, it destroys the integrity of the hiring pipeline. Standard conversational AI wrappers—where a massive system prompt is fed into a...

A semantic skill selector can make an agent prompt smaller. It can also make an agent less capable if it quietly removes the only map to available skills. That is the boundary APX needs to protect. APC is the portable context layer. A project can keep reusable instructions in .apc/skills/ , review them in Git, and share them with compatible tools. APX is the local runtime layer. It decides what becomes active during one turn: a small catalog hint, a loaded skill body, or an optional seman...

Biometric authentication has become a standard part of modern mobile applications. Face ID, Touch ID, fingerprint authentication, and device credentials give users a convenient way to verify their identity before accessing sensitive functionality. For React Native applications, implementing these flows still requires communication with native iOS and Android authentication APIs. That was the motivation behind building react-native-nitro-biometrics , an open-source biometric authentic...

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Article URL: https://treylorswift.github.io/demoscene-recomp/web/ Comments URL: https://news.ycombinator.com/item?id=50002426 Points: 92 # Comments: 73

Article URL: https://github.com/openai/math/blob/main/history.md Comments URL: https://news.ycombinator.com/item?id=50003107 Points: 16 # Comments: 3

Starlink is still awaiting security clearance before it can seek spectrum and begin commercial services in India.

I have been learning Agentic AI for a while now. Concepts made sense, the demos worked, and I felt ready to build something for myself. So I picked a project I actually needed: an agent that applies to jobs for me. Stack: Node.js, Playwright, OpenAI. I thought the LLM part would be the challenge. It was not. The browser part broke me. What went wrong Bot detection. Playwright got flagged almost immediately. Cloudflare CAPTCHA. Once I got past the first wall, this ...

Pick the Agent Seat by the Commit You Would Sign I do not start with the price tag when I place an agent on a machine today. I start with a harder question: would I sign the commit this run is about to create? If the answer is no, a free shared seat can still be a fair draft bench. If the answer is yes, I want a host whose git identity, license files, and secret boundary I can name before the push. That split sounds fussy until a generated patch lands in a public repository with the wrong...

Everyone wants to work remotely. Pyjama bottoms, a hot chai, and a Zoom call where only the shirt is professional. The dream is real, but the internet has roughly 4,000 websites claiming to give it to you, and about 40 of them will happily eat your weekend. So I went through 80 of them and sorted them by two simple questions. Is it worth your time? And how likely is it that somebody actually hires you? A small honest note before we start. These ratings are my own judgement from how each pl...

If I don't want AI-generated answers on top of my search results, which search engine should I use? I couldn't find a straight answer. Most articles on this repeat what each company says about itself, so I tested it: same queries, same browser, same day, a screenshot of every result. Below is the setup, the results, and the engines I couldn't test. The setup Date: October 6, 2026, one sitting of about 40 minutes. Browser: Chrome 154 (154.0.8037.98) on a Mac, desktop ...

A green test run can still be a failed repair, and that is the failure this notebook is meant to catch. The patch looks small, the command exits clean, and the assertion now expects the broken behavior. Have you shipped a change like that because the suite finally stopped shouting? I would not trust the next model-written diff until it survived the forty-eight hour routine below. What I am trying to catch I am not trying to prove that a model is wise, and I am not trying to ban m...

One CV, fifty applications: it's the default strategy, and it's a losing one. Recruiters read for fit against a specific job description; a generic CV reads as generic. Tailoring by hand works, but an hour per application adds up fast when you're applying to ten jobs a week. CVBoost is AI-powered CV tailoring built for Cameroon's job market. Upload your CV, paste the job description, get a tailored CV and cover letter back in seconds. No prompt engineering, no settings to configure. ...

Most civic complaints never become data. They sit in a chat thread, get forwarded twice, and vanish — while the same pothole is reported forty times and nobody can say which street is worst. WardWatch (formerly CommunityPulse) is an AI-powered civic intelligence platform connecting citizens, local government, and service providers. The loop: a citizen reports an issue with GPS coordinates, a photo, or a voice note. AI does the boring part. Everyone else sees a live map. What the...

I want the network call to be the last step, not the first. A free model does not get an uncounted prompt from me. If I cannot hash the text, reject secret-shaped lines, and fail my own cap, the call does not happen. That is the whole tutorial. Six local checks, then an optional send. The script is a proposal you can run on one laptop, and I am not reporting a benchmark, a retained quota, or a model name. This draft has no primary source for those facts today. Why the ledger comes...

RTOS, Linux, and Android solve different problems, so there is no universal winner for a feature phone. An RTOS starts with deterministic behavior and a configurable small footprint, but the product team must assemble the UI, networking, application, and update layers it needs. Linux provides a richer process and application environment, with the cost and integration work of a larger system. Android supplies the broadest app model, but current Android Go requirements begin far above the 64MB tot...

A blended pass rate is a costume. It looks like measurement. Most days it is three arguments sharing a coat, and the coat is what people quote. I do not want that coat in this piece. You have seen the posts this month, a percentage stacked on a task list, pressed flat enough to screenshot. Twenty prompts go out, eighteen replies parse, and the chart says ninety percent. The thread then treats the chart as a personality. Then you open the two failures. One is a refusal you wanted. The other...

A URL shortener sounds like one of the simplest backend systems to build. Take a long URL: https://example.com/articles/distributed-systems/introduction Generate a short code: https://short.ly/aB7xK2p Store the mapping, and redirect anyone who visits the short URL. Three operations. One database table. A few API endpoints. So why is URL Shortener System Design such a useful distributed systems interview problem? Because generating the short URL is rarely the difficult...

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