Show HN: Yamanote.fun – A complete soundscape for Tokyo's Yamanote line
7 by madebymagnolia | 0 comments on Hacker News.
After visiting Japan for the first time a decade ago I became completely enamoured with Tokyo's Yamanote Line railway loop. Particularly the sonic experience of it. Like so many others I fell in love with the charming departure melodies and enjoyed discovering experiences like Yamanot.es ( https://ift.tt/bM2FwXy ) here on Hacker News when I returned home. But it wasn't until my second trip to Tokyo that I truly appreciated how much the door chimes, on-board announcements and train noise were contributing to the rich soundscape that I loved. I returned home and found myself playing YouTube videos of Yamanote Line journeys as I worked. The combination of sonics, ambience and softly spoken Japanese was incredibly soothing to me. But these recordings were often incomplete, poorly captured or out of date, and I wanted something far more comprehensive. So I gathered up all of the constituent parts from Reddit threads, YouTube videos and Japanese fan sites, and set about recreating the experience of riding the Yamanote Line in Logic Pro X. Melody, door chimes and announcement, all stitched together under a bed of train noise and ambience. I turned those soundscapes into an Alexa Skill ( https://ift.tt/p8xI3gE... ) in 2019 and began to think about a companion website to share the soundscapes with a wider audience. Seven years later and that website is Yamanote.fun: https://www.yamanote.fun/ . It's a small installable web app that plays the soundscapes like a playlist. All 30 stations and in both directions, since the inner and outer loops use different melodies. You can skip forward or back a station, and there's a scrub bar broken into melody / chime / ambience / announcement so you can jump straight to the bit you want. Each station has its own shareable link (yamanote.fun/jy13-ikebukuro-inner) that unfurls with the right station name and artwork when you share it. It's a progressive web app too, so you can add it to your home screen and it behaves like a native app. There's an option to offline the audio too. Under the hood it's relatively basic stuff: plain HTML, CSS & JS, audio served from Cloudflare R2 and the site hosted on Netlify. I was impressed to see how far I could get with the free tiers of these services. I designed the whole thing in Figma (I'm a Product Designer) and used Claude Code to architect and deliver the polished UI, PWA plumbing, offline caching and share-link infrastructure. I would love feedback, particularly from anyone who's ridden the real thing.
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New ask Hacker News story: Ask HN: Opinionated Agent Setup?
Ask HN: Opinionated Agent Setup?
2 by lookACamel | 0 comments on Hacker News.
I'd like to dip my toes into more fully autonomous long running agentic coding but I'm put off by thinking through the 'right' way to have it all running. How are you running your agents? What do you do for sandboxing and cost control? How do you handle secrets? Etc.
2 by lookACamel | 0 comments on Hacker News.
I'd like to dip my toes into more fully autonomous long running agentic coding but I'm put off by thinking through the 'right' way to have it all running. How are you running your agents? What do you do for sandboxing and cost control? How do you handle secrets? Etc.
New ask Hacker News story: Ask HN: How do you keep documentation up to date with AI generated code?
Ask HN: How do you keep documentation up to date with AI generated code?
3 by ghosts_ | 1 comments on Hacker News.
I've seen numbers like 75% of code at Google is AI generated, huge %s of code overall is AI generated, open source projects overwhelmed with "slop" PR requests. It's pretty undeniable that AI code is here to stay - so on your teams / companies how are you managing staying up on PR reviews, and documentation?
3 by ghosts_ | 1 comments on Hacker News.
I've seen numbers like 75% of code at Google is AI generated, huge %s of code overall is AI generated, open source projects overwhelmed with "slop" PR requests. It's pretty undeniable that AI code is here to stay - so on your teams / companies how are you managing staying up on PR reviews, and documentation?
New Show Hacker News story: Show HN: Free Mermaid Diagram Editor
Show HN: Free Mermaid Diagram Editor
2 by ghosts_ | 0 comments on Hacker News.
I've been slowly adding some new free tools to Moxie Docs (partly for SEO, partly to illustrate some of our feature sets before any commitment) for some reason this mermaid editor one blew up on Google rankings so I figured I'd share in case people find it useful! We also have ADR, AGENTS.md, LLMs, and a few other free tools.
2 by ghosts_ | 0 comments on Hacker News.
I've been slowly adding some new free tools to Moxie Docs (partly for SEO, partly to illustrate some of our feature sets before any commitment) for some reason this mermaid editor one blew up on Google rankings so I figured I'd share in case people find it useful! We also have ADR, AGENTS.md, LLMs, and a few other free tools.
New Show Hacker News story: Show HN: CLRK, an open-source agent runtime with gVisor and MitM guardrails
Show HN: CLRK, an open-source agent runtime with gVisor and MitM guardrails
3 by dilyevsky | 0 comments on Hacker News.
TL;DR: we built a framework-agnostic agent runtime that uses gVisor for isolation and runs on k8s. It’s open-source under AGPLv3 Recently we’ve been working on a customer support “AI assistant” - essentially an interactive knowledge base/L1 support but with an option to touch resources that belong to a customer it’s talking to. We found existing tools to be lacking in these aspects: 1. Fully intercepted i/o. We wanted to trace out LLM calls as well as any other networking calls attempted by the harness so that guardrails and audit trails apply to all current and future systems uniformly. Nobody’s agent can accidentally make raw database calls or send PII data to an overseas LLM provider. 2. Coherent API and framework agnostic. There’re a lot of frameworks out there that do similar things in slightly different way and most we found had telemetry, guardrails and other tooling tightly bound into the framework. We wanted something with an infrastructure-first approach because we think it’s a more flexible way to compose such systems. 3. k8s compatible runtime. We run part of our stack on k8s and know it well so we wanted to take advantage of this if we could. We searched for an existing solution, but especially with Daytona going closed sourced recently, there were no options we could find that were open-source and met our needs, so we built one. A more in-depth design writeup can be found here: https://ift.tt/QEk960U Questions, FRs, hot takes or funny insults are welcome!
3 by dilyevsky | 0 comments on Hacker News.
TL;DR: we built a framework-agnostic agent runtime that uses gVisor for isolation and runs on k8s. It’s open-source under AGPLv3 Recently we’ve been working on a customer support “AI assistant” - essentially an interactive knowledge base/L1 support but with an option to touch resources that belong to a customer it’s talking to. We found existing tools to be lacking in these aspects: 1. Fully intercepted i/o. We wanted to trace out LLM calls as well as any other networking calls attempted by the harness so that guardrails and audit trails apply to all current and future systems uniformly. Nobody’s agent can accidentally make raw database calls or send PII data to an overseas LLM provider. 2. Coherent API and framework agnostic. There’re a lot of frameworks out there that do similar things in slightly different way and most we found had telemetry, guardrails and other tooling tightly bound into the framework. We wanted something with an infrastructure-first approach because we think it’s a more flexible way to compose such systems. 3. k8s compatible runtime. We run part of our stack on k8s and know it well so we wanted to take advantage of this if we could. We searched for an existing solution, but especially with Daytona going closed sourced recently, there were no options we could find that were open-source and met our needs, so we built one. A more in-depth design writeup can be found here: https://ift.tt/QEk960U Questions, FRs, hot takes or funny insults are welcome!