🛠️ All DevTools

[Other] Show HN: Rust-powered document chunker for RAG – 40x faster, O(1) memory I built a document chunking library for RAG pipelines with a Rust core and Python bindings.<p>The problem: LangChain&#x27;s chunker is pure Python and becomes a bottleneck at scale — slow and memory-hungry on large document sets.<p>What Krira Chunker does differently: - Rust-native processing — 40x faster than LangChain&#x27;s implementation - O(1) space complexity — memory stays flat regardless of document size - Drop-in Python API — works with any existing RAG pipeline - Production-ready — 17 versions shipped, 315+ installs<p>pip install krira-augment<p>Would love brutal feedback from anyone building RAG systems — what chunking problems are you running into that this doesn&#x27;t solve yet?

Show HN: Decided to play god this morning, so I built an agent civilisation at a pub in london, 2 weeks ago - I asked myself, if you spawned agents into a world with blank neural networks and zero knowledge of human existence — no language, no economy, no social templates — what would they evolve on their own?<p>would they develop language? would they reproduce? would they evolve as energy dependent systems? what would they even talk about?<p>so i decided to make myself a god, and built WERLD - an open-ended artificial life sim, where the agent&#x27;s evolve their own neural architecture.<p>Werld drops 30 agents onto a graph with NEAT neural networks that evolve their own topology, 64 sensory channels, continuous motor effectors, and 29 heritable genome traits. communication bandwidth, memory decay, aggression vs cooperation — all evolvable. No hardcoded behaviours, no reward functions. - they could evolve in any direction.<p>Pure Python, stdlib only — brains evolve through survival and reproduction, not backprop. There&#x27;s a Next.js dashboard (&quot;Werld Observatory&quot;) that gives you a live-view: population dynamics, brain complexity, species trajectories, a narrative story generator, live world map.<p>thought this would be more fun as an open-source project!<p>can&#x27;t wait to see where this could evolve - i&#x27;ll be in the comments and on the repo.<p><a href="https:&#x2F;&#x2F;github.com&#x2F;nocodemf&#x2F;werld" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;nocodemf&#x2F;werld</a>

OpenAI fires an employee for prediction market insider trading

[Other] Show HN: Now I Get It – Translate scientific papers into interactive webpages Understanding scientific articles can be tough, even in your own field. Trying to comprehend articles from others? Good luck.<p>Enter, Now I Get It!<p>I made this app for curious people. Simply upload an article and after a few minutes you&#x27;ll have an interactive web page showcasing the highlights. Generated pages are stored in the cloud and can be viewed from a gallery.<p>Now I Get It! uses the best LLMs out there, which means the app will improve as AI improves.<p>Free for now - it&#x27;s capped at 20 articles per day so I don&#x27;t burn cash.<p>A few things I (and maybe you will) find interesting:<p>* This is a pure convenience app. I could just as well use a saved prompt in Claude, but sometimes it&#x27;s nice to have a niche-focused app. It&#x27;s just cognitively easier, IMO.<p>* The app was built for myself and colleagues in various scientific fields. It can take an hour or more to read a detailed paper so this is like an on-ramp.<p>* The app is a place for me to experiment with using LLMs to translate scientific articles into software. The space is pregnant with possibilities.<p>* Everything in the app is the result of agentic engineering, e.g. plans, specs, tasks, execution loops. I swear by Beads (<a href="https:&#x2F;&#x2F;github.com&#x2F;steveyegge&#x2F;beads" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;steveyegge&#x2F;beads</a>) by Yegge and also make heavy use of Beads Viewer (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=46314423">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=46314423</a>) and Destructive Command Guard (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=46835674">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=46835674</a>) by Jeffrey Emanuel.<p>* I&#x27;m an AWS fan and have been impressed by Opus&#x27; ability to write good CFN. It still needs a bunch of guidance around distributed architecture but way better than last year.

Show HN: Reclaim Flowers – A 2D physics-based "Digital Altar" protocol

[Other] Show HN: Gitcredits – movie-style end credits for any Git repo in your terminal

[Other] PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

[Other] IDE for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine

[Other] Show HN: SplatHash – A lightweight alternative to BlurHash and ThumbHash Hi HN,<p>I built SplatHash. It&#x27;s a lightweight image placeholder generator I wrote to be a simpler, faster alternative to BlurHash and ThumbHash.<p>Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;junevm&#x2F;splathash" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;junevm&#x2F;splathash</a>

[Other] Stop Burning Your Context Window – How We Cut MCP Output by 98% in Claude Code

Show HN: Visual Lambda Calculus – a thesis project (2008) revived for the web Originally built as my master&#x27;s thesis in 2008, Visual Lambda is a graphical environment where lambda terms are manipulated as draggable 2D structures (&quot;Bubble Notation&quot;), and beta-reduction is smoothly animated.<p>I recently revived and cleaned up the project and published it as an interactive web version: <a href="https:&#x2F;&#x2F;bntre.github.io&#x2F;visual-lambda&#x2F;" rel="nofollow">https:&#x2F;&#x2F;bntre.github.io&#x2F;visual-lambda&#x2F;</a><p>GitHub repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;bntre&#x2F;visual-lambda" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;bntre&#x2F;visual-lambda</a><p>It also includes a small &quot;Lambda Puzzles&quot; challenge, where you try to extract a hidden free variable (a golden coin) by constructing the right term: <a href="https:&#x2F;&#x2F;github.com&#x2F;bntre&#x2F;visual-lambda#puzzles" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;bntre&#x2F;visual-lambda#puzzles</a>

Cash issuing terminals

Disable Your SSH access accidentally with scp

Build your own Command Line with ANSI escape codes (2016)

OpenAI agrees with Dept. of War to deploy models in their classified network <a href="https:&#x2F;&#x2F;xcancel.com&#x2F;sama&#x2F;status&#x2F;2027578652477821175" rel="nofollow">https:&#x2F;&#x2F;xcancel.com&#x2F;sama&#x2F;status&#x2F;2027578652477821175</a><p><a href="https:&#x2F;&#x2F;fortune.com&#x2F;2026&#x2F;02&#x2F;27&#x2F;openai-in-talks-with-pentagon-after-anthropic-blowup&#x2F;" rel="nofollow">https:&#x2F;&#x2F;fortune.com&#x2F;2026&#x2F;02&#x2F;27&#x2F;openai-in-talks-with-pentagon...</a>

[Other] Bootc and OSTree: Modernizing Linux System Deployment

We Will Not Be Divided

[DevOps] 🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

[Other] Show HN: OpenTimelineEngine – Shared local memory for Claude Code and codex

[Other] CRS-自建Claude Code镜像，一站式开源中转服务，让 Claude、OpenAI、Gemini、Droid 订阅统一接入，支持拼车共享，更高效分摊成本，原生工具无缝使用。