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July 17, 2026 at 04:00 PM
This blog is written in en-GB
Hacker News (score: 309)This blog is written in en-GB
Beyond Git: Real-Time Version Control for Godot β Lilith Duncan β GodotCon 2026 [video]
Hacker News (score: 24)Beyond Git: Real-Time Version Control for Godot β Lilith Duncan β GodotCon 2026 [video]
ryanmcdermott/clean-code-javascript
GitHub TrendingClean Code concepts adapted for JavaScript
langflow-ai/langflow
GitHub TrendingLangflow is a powerful tool for building and deploying AI-powered agents and workflows.
openai/codex-plugin-cc
GitHub TrendingUse Codex from Claude Code to review code or delegate tasks.
agentskills/agentskills
GitHub TrendingSpecification and documentation for Agent Skills
JuliusBrussee/caveman
GitHub Trendingπͺ¨ why use many token when few token do trick β Claude Code skill that cuts 65% of tokens by talking like caveman
Is the iPhone birth control? Causal evidence from AT&T's 2007-2011 monopoly [pdf]
Hacker News (score: 79)Is the iPhone birth control? Causal evidence from AT&T's 2007-2011 monopoly [pdf]
Show HN: Kube-insight β retained Kubernetes evidence for incident investigations
Show HN (score: 5)Show HN: Kube-insight β retained Kubernetes evidence for incident investigations
The primary purpose of code review is to find code that will be hard to maintain
Hacker News (score: 169)The primary purpose of code review is to find code that will be hard to maintain
Show HN: I measured the half-life of 41,301 Show HN launches. It's 7 hours
Show HN (score: 6)Show HN: I measured the half-life of 41,301 Show HN launches. It's 7 hours I scraped every Show HN from the last 12 months (41,301 posts) plus the full comment tree of every launch with 10+ comments, ~100k comment timestamps, all from the Algolia HN API.<p>The median launch gets 2 points and 0 comments. For launches that do get traction, half the comments they'll ever get arrive within 7.2 hours and 90% within 26, and the top decile decays on the same clock as everyone else.<p>Vote timestamps aren't public, so comment timing is the attention proxy; caveats are in the post. Everything reproduces from the repo with one command (<a href="https://github.com/jonnonz1/hn-attention-cliff" rel="nofollow">https://github.com/jonnonz1/hn-attention-cliff</a>), and every number in the post maps to a named function. Keen to hear where the methodology falls short
PeerTube is a free, decentralized and federated video platform
Hacker News (score: 39)PeerTube is a free, decentralized and federated video platform
The great blogging collapse: What happened to 100 successful blogs?
Hacker News (score: 91)The great blogging collapse: What happened to 100 successful blogs?
Evaluation order and nontermination in query languages
Hacker News (score: 15)Evaluation order and nontermination in query languages
The Complete Homemade Juggling Beanbag Guide
Hacker News (score: 50)The Complete Homemade Juggling Beanbag Guide
He sent a harsh email to ICE's top official. Federal agents tracked him down
Hacker News (score: 23)He sent a harsh email to ICE's top official. Federal agents tracked him down
Kimi K2.7 Code is generally available in GitHub Copilot
Hacker News (score: 92)Kimi K2.7 Code is generally available in GitHub Copilot
Show HN: Margarita - Programming language for Agents using Markdown-ish syntax On my list of build it from scratch has always been to build a programming language. So with the help of AI I was able to get it done! Why did I build it? At work I've seen two major problems with our ai workflows/ skills libraries. There is a lack of determinism when your whole workflow is a markdown file of 100 steps, and markdown skill libraries lack composability. Meaning we violate things like DRY in the all the md files in the skills library.<p>I built Margarita to allow for markdown and logical operators to exist together, which means you can bring in determinism through code structures when it makes sense, and fall back to llm dynamic code when that makes sense. As an added bonus allows for composable prompts ala React which solve my other gripe with skills libraries being a mash of text everywhere.<p>Overall I've been getting pretty luke warm responses from Reddit, so I'll probably just shelve it, but it was a blast to make. Got to build code agents for pretty much every llm provider and built my own harness. I would recommend doing that it's a great learning experience.<p><a href="https://www.margarita.run" rel="nofollow">https://www.margarita.run</a> <a href="https://github.com/Banyango/margarita" rel="nofollow">https://github.com/Banyango/margarita</a>
Herdr: One terminal to rule them all
Hacker News (score: 131)Herdr: One terminal to rule them all
Show HN: Meow β The 4th and final JavaScript runtime and toolchain
Hacker News (score: 11)Show HN: Meow β The 4th and final JavaScript runtime and toolchain Yes, I said final. Fight me in the comments.<p>But seriously: there are basically exactly 3 serious JS runtimes in the world. (Now 4... or 1, idk).<p>Why? Because the modern JS ecosystem is a fragmented, bloated nightmare. Node, pnpm, tsc, eslint, prettier, vite. Each spins up its own V8 instance, parses your codebase from scratch, and leaves a graveyard of .json configs in your root directory.<p>meow squishes it all into one cute 82MB binary. Itβs a drop-in Node replacement, ultra-fast package manager, formatter, test runner, linter, checker and bundler.<p>I didn't write a JS engine from scratch, I'm not that depressed. meow uses V8 for stability and gets Node drop-in compat via deno_node (thanks Deno team).<p>The secret sauce: meow parses your codebase exactly once into an Oxc AST in memory. That single graph natively feeds the runtime, linter, formatter, typechecker, and bundler. No redundant allocations. Just the fastest JavaScript tooling available, completely unified.<p>0-Byte Duplicated node_modules (Without Symlink Hell) pnpm is cool, but its symlinks notoriously break framework resolvers. meow downloads to a global cache once, then projects packages using OS-level copy-on-write (macOS APFS clonefile) or parallel hardlinking (Linux/Windows). You get flat, standard node_modules consuming exactly 0 extra bytes on your SSD.<p>7ms Warm Installs Offloading SHA-512 cryptographic verification to background OS threads means cold installs take ~250ms, warm installs take 7-15ms. And yes, it does it that fast without skipping verification.<p>It actually runs Next.js & SvelteKit Fast runtimes are a fun parlor trick until they fail to build your app. meow natively boots Next.js 15, Astro, and SvelteKit out of the box with full CommonJS & Node built-in support.<p>Sandboxed npx by default Running npx create-next-app gives a random script full host access. We shouldn't be letting Shai Hulud run around so freely. meow x (our ephemeral runner) is sandboxed by default. Network is denied, writes are confined to the cwd, and the clock/entropy are frozen. Pass --trust to let it do sketchy stuff.<p>The UX meow looksmaxxes hard. It looks like a little girl vomited in a TTY. But it intelligently detects non-interactive environments and degrades to clean stdout so you can sneak it into your org without breaking CI/CD.<p>No cap, it benchmaxxes pretty good too. Like if it were an LLM it'd be mythos class for sure. Benchmarks below.<p>Install (macOS / Linux): curl -fsSL <a href="https://meow.style/install" rel="nofollow">https://meow.style/install</a> | sh Web: <a href="https://meow.style" rel="nofollow">https://meow.style</a> Docs: <a href="https://docs.meow.style" rel="nofollow">https://docs.meow.style</a> GitHub: <a href="https://github.com/0xchasercat/meow" rel="nofollow">https://github.com/0xchasercat/meow</a><p>Okay, who wants to fight me? Come hit me with the "but it don't work with xxxx!1!!!". (But really, if you do encounter an issue, GH issues are welcome).<p>Disclaimer: meow is still super early stage. You will hit edge cases, but for common apps it works perfectly.<p>Benchmarks (<a href="https://github.com/0xchasercat/fluffybench" rel="nofollow">https://github.com/0xchasercat/fluffybench</a>) Package Manager (Large workspace, Cold / Dedup): Meow: 248ms / 725ms Bun: 2.7s / 3.5s NPM: 36.7s / 55.9s Deno: 46.7s / 55.0s Runtime (HTTP req/s | Regex | Cold Start): Meow: 43.7k req/s | 89ms | 23ms Deno: 42.0k req/s | 90ms | 24ms Node: 40.3k req/s | 99ms | 38ms Bun: 36.2k req/s | 107ms | 16ms