🛠️ All DevTools

[Other] Show HN: Mowgli – Figma for the agent era, with Claude Code and design export Hi HN! We&#x27;re excited to announce the public beta of Mowgli, a spec-backed, AI-native design canvas for scoping and ideating on products.<p>The productivity gains unleashed by coding agents have made everything else an unexpected bottleneck. In an effort to make the most out of this new paradigm, we ceded a lot of ground in product thinking, thoughtful UX, and design excellence. In other words, the pace of tooling for deciding <i>what</i> to build has not kept up.<p>Mowgli is inspired by, in equal parts, Figma and Claude&#x27;s plan mode. It evolves a detailed specification and designs for every screen and state of the product on an infinite canvas. Owing to this UI, it can quickly mock up new features and flows, redesign existing ones, and show you variations side by side. LLMs are amazing at helping you explore vast solution spaces, but most current tooling focuses on getting narrowly perfect output based on a well-defined spec. We try to bridge that gap with Mowgli.<p>When you&#x27;re ready to build, Mowgli offers a .zip export with a SPEC.md and unopinionated design .tsx files for your screens, in a perfect format for coding agents. Or alternatively, full, pixel-perfect export of all screens to Figma.<p>In this early stage, we support two entrypoints: (1) building a product from scratch through a guided experience, or (2) importing an existing product from Figma. We have a powerful, almost pixel-perfect Figma to code + spec pipeline that works on files of any size - from 0 to 300+ frames.<p>We&#x27;re working hard on other ways to get your existing products into Mowgli (and would appreciate hearing about what you would like!)<p>- Timelapse of making a functional second brain app in Mowgli + Claude Code: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=HeOoy8WDmMA" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=HeOoy8WDmMA</a><p>- Sample project designed and specced entirely by Mowgli (demo, no login needed): <a href="https:&#x2F;&#x2F;app.mowgli.ai&#x2F;projects&#x2F;cmluzdfa0000v01p91l5r61e3?theme=dark&amp;demo=true&amp;showchat=true&amp;dismisschat=true" rel="nofollow">https:&#x2F;&#x2F;app.mowgli.ai&#x2F;projects&#x2F;cmluzdfa0000v01p91l5r61e3?the...</a><p>- Sample Figma import of the whole Posthog product, ready for iteration: <a href="https:&#x2F;&#x2F;app.mowgli.ai&#x2F;projects&#x2F;cmkl0zqng000101lo8yn2gqvd?demo=true&amp;theme=dark" rel="nofollow">https:&#x2F;&#x2F;app.mowgli.ai&#x2F;projects&#x2F;cmkl0zqng000101lo8yn2gqvd?dem...</a> (thanks PostHog for being radically open with public Figma files!)

[Other] Obsidian Sync now has a headless client

[Database] Show HN: SQLite for Rivet Actors – one database per agent, tenant, or document Hey HN! We posted Rivet Actors here previously [1] as an open-source alternative to Cloudflare Durable Objects.<p>Today we&#x27;ve released SQLite storage for actors (Apache 2.0).<p>Every actor gets its own SQLite database. This means you can have millions of independent databases: one for each agent, tenant, user, or document.<p>Useful for:<p>- AI agents: per-agent DB for message history, state, embeddings<p>- Multi-tenant SaaS: real per-tenant isolation, no RLS hacks<p>- Collaborative documents: each document gets its own database with built-in multiplayer<p>- Per-user databases: isolated, scales horizontally, runs at the edge<p>The idea of splitting data per entity isn&#x27;t new: Cassandra and DynamoDB use partition keys to scale horizontally, but you&#x27;re stuck with rigid schemas (&quot;single-table design&quot; [3]), limited queries, and painful migrations. SQLite per entity gives you the same scalability without those tradeoffs [2].<p>How this compares:<p>- Cloudflare Durable Objects &amp; Agents: most similar to Rivet Actors with colocated SQLite and compute, but closed-source and vendor-locked<p>- Turso Cloud: Great platform, but closed-source + diff use case. Clients query over the network, so reads are slow or stale. Rivet&#x27;s single-writer actor model keeps reads local and fresh.<p>- D1, Turso (the DB), Litestream, rqlite, LiteFS: great tools for running a single SQLite database with replication. Rivet is for running lots of isolated databases.<p>Under the hood, SQLite runs in-process with each actor. A custom VFS persists writes to HA storage (FoundationDB or Postgres).<p>Rivet Actors also provide realtime (WebSockets), React integration (useActor), horizontal scalability, and actors that sleep when idle.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;rivet-dev&#x2F;rivet" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;rivet-dev&#x2F;rivet</a><p>Docs: <a href="https:&#x2F;&#x2F;www.rivet.dev&#x2F;docs&#x2F;actors&#x2F;sqlite&#x2F;">https:&#x2F;&#x2F;www.rivet.dev&#x2F;docs&#x2F;actors&#x2F;sqlite&#x2F;</a><p>[1] <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=42472519">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=42472519</a><p>[2] <a href="https:&#x2F;&#x2F;rivet.dev&#x2F;blog&#x2F;2025-02-16-sqlite-on-the-server-is-misunderstood&#x2F;">https:&#x2F;&#x2F;rivet.dev&#x2F;blog&#x2F;2025-02-16-sqlite-on-the-server-is-mi...</a><p>[3] <a href="https:&#x2F;&#x2F;www.alexdebrie.com&#x2F;posts&#x2F;dynamodb-single-table&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.alexdebrie.com&#x2F;posts&#x2F;dynamodb-single-table&#x2F;</a>

[Other] Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.

[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?

[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.

[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

[Other] Bootc and OSTree: Modernizing Linux System Deployment

[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。

[CLI Tool] Show HN: Claude-File-Recovery, recover files from your ~/.claude sessions Claude Code deleted my research and plan markdown files and informed me: “I accidentally rm -rf&#x27;d real directories in my Obsidian vault through a symlink it didn&#x27;t realize was there: I made a mistake. “<p>Unfortunately the backup of my documentation accidentally hadn’t run for a month. So I built claude-file-recovery, a CLI-tool and TUI that is able to extract your files from your ~&#x2F;.claude session history and thankfully I was able to recover my files. It&#x27;s able to extract any file that Claude Code ever read, edited or wrote. I hope you will never need it, but you can find it on my GitHub and pip. Note: It can recover an earlier version of a file at a certain point in time.<p>pip install claude-file-recovery

[Database] RuVector is a High Performance, Real-Time, Self-Learning, Vector Graph Neural Network, and Database built in Rust.

[Other] Show HN: Badge that shows how well your codebase fits in an LLM's context window Small codebases were always a good thing. With coding agents, there&#x27;s now a huge advantage to having a codebase small enough that an agent can hold the full thing in context.<p>Repo Tokens is a GitHub Action that counts your codebase&#x27;s size in tokens (using tiktoken) and updates a badge in your README. The badge color reflects what percentage of an LLM&#x27;s context window the codebase fills: green for under 30%, yellow for 50-70%, red for 70%+. Context window size is configurable and defaults to 200k (size of Claude models).<p>It&#x27;s a composite action. Installs tiktoken, runs ~60 lines of inline Python, takes about 10 seconds. The action updates the README but doesn&#x27;t commit, so your workflow controls the git strategy.<p>The idea is to make token size a visible metric, like bundle size badges for JS libraries. Hopefully a small nudge to keep codebases lean and agent-friendly.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;qwibitai&#x2F;nanoclaw&#x2F;tree&#x2F;main&#x2F;repo-tokens" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;qwibitai&#x2F;nanoclaw&#x2F;tree&#x2F;main&#x2F;repo-tokens</a>

[Other] Building secure, scalable agent sandbox infrastructure

[Other] We deserve a better streams API for JavaScript