🛠️ All DevTools

Show HN: 2 Weeks of Hallucinate – The Photo Gallery

Simple, unified interface to multiple Generative AI providers

Arch Linux Now Believes Malware Incident Under Control: More Than 1,500 Packages

A generic dynamic array in C that stores no capacity and needs no struct

I Think They [Anthropic] Are Lying to You [video]

Mmorpg World of ClaudeCraft, vibe coded with Fable 5

/architect: Reduce Fable tokens by 80%, Fable orchestrates/reviews, Codex builds

Swift at Apple: Migrating the TrueType hinting interpreter

How to setup a local coding agent on macOS

Launch HN: BitBoard (YC P25) – Analytics Workspace for Agents We’re Connor and Ambar from BitBoard (<a href="https:&#x2F;&#x2F;bitboard.work">https:&#x2F;&#x2F;bitboard.work</a>). BitBoard is an agentic analytics workspace. We give you the infrastructure and visualization layer to analyze data with AI.<p>Today, we’re launching dashboards that you and your agents can work on together. You can connect your coding agent or AI chat to BitBoard and build live reporting. Here’s a demo: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=HPl0K565a7c" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=HPl0K565a7c</a>.<p>AI tools treat data analysis as ephemeral, making it hard to report or collaborate. Legacy BI tools weren’t intended for AI users, so they bolt on chatbots and can’t offer meaningful control to your agents. Software can now make far more of a business legible than BI ever could, but neither legacy BI nor chat bots are built to handle it.<p>Our original product was AI agents for administrative tasks in healthcare (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44237769">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44237769</a>), but customers kept pulling us toward their data analysis problems: queries scattered across disparate sources, spreadsheets floating everywhere. We kept building tooling for addressing that, and at a certain point those tools were becoming our product.<p>We ran into several problems. Agents made bad inferences because they had no context on the business. They couldn&#x27;t be trusted to make decisions because nothing checked their work. And anything one agent or one person figured out was invisible to everyone else. In BitBoard, humans and agents interact with the same data primitives but get tools designed for their own work.<p>We’re building dashboards to make the human reading experience better. These dashboards progressively use intelligence - starting from code or SQL queries and leading to full embedded apps. Humans and agents will need to agree on methods to interpret data, so we’re letting both contribute to canonical sources, entities, and measures (using your favorite semantic model or ours). Every answer comes with provenance, and the same call with the same parameters returns the same number.<p>Looking ahead, these shared primitives let long-running agents operate inside a business, and we&#x27;re building those agents too. An agent needs a measurable goal and a way to verify its work. BitBoard gives it both. The agent takes a problem like a metric drifting or a funnel leaking and figures out what to do next. Its work becomes datasets, dashboards, and traces that the team can observe and sign off on.<p>Technically, we’re building a collaboration engine with isomorphic updates for humans and AI, columnar analysis (we use DuckDB and Apache Arrow), grounding and verification infrastructure, and enabling long running tasks with agent containers and traces. For agentic work we’re big fans of applying LLM judgement to discover problems, and then generating deterministic software to automate them.<p>Try it out at <a href="https:&#x2F;&#x2F;app.bitboard.work">https:&#x2F;&#x2F;app.bitboard.work</a>. (We require an email so we can set up your account).<p>We’re excited about how data analysis and science can change in the age of LLMs, and welcome all your thoughts!

Music Assistant is a free, opensource Media library manager that connects to your streaming services and a wide range of connected speakers. The server is the beating heart, the core of Music Assistant and must run on an always-on device like a Raspberry Pi, a NAS or an Intel NUC or alike.

Show HN: StackScope – I crawled over 40k indie launches to see what they ship Hey all, I built StackScope, a crawler&#x2F;catalogue that looks at new product launches and shows what they were built with.<p>It watches launches from Product Hunt, Show HN, and PeerPush, then crawls the public site behind each one. The goal is to show what people actually launched with: hosting, frameworks, analytics, DNS, security headers, legal pages, AI-builder signals, and other public clues.<p>I started building it because most stack-detection sites look at the web as a whole. I was more interested in the current indie launch scene: what people are choosing right now, at the point they first put something in public.<p>A few implementation details: it runs on .NET, uses Playwright for rendered pages, and has a first-party fingerprint catalogue rather than one copied from Wappalyzer&#x2F;etc. robots.txt is honoured, and the bot identifies itself.<p>Frustratingly, I am still waiting for verified bot status from Cloudflare and currently that knocks out about 10% of all sites.<p>There is also a private readiness check: paste a URL, get the same style of report, fix things, and recrawl. No account or email needed.<p>I&#x27;d be interested in feedback on the usefulness of this, the methodology, and any obvious false positives.<p>Jonathan.

Enshittification of Policing

Show HN: I had Fable clone a game, it turned it into an arena combat AI trainer I started off with a simple goal: port the game Soldat to Typescript. I ended up not only with the game, but with a full system to train AI bots to play my own game, building a neural net to train new bot AIs from tens of thousands of simulated matches with different strategies. It also runs live all the time on my website and has a news dashboard and you can replay any game exactly. It all was a very fun way to dig into Fable&#x27;s capabilities.<p>The bill if I had done this with API billing? Nearly $2000.

Slightly reducing the sloppiness of AI generated front end

WASI 0.3 <a href="https:&#x2F;&#x2F;github.com&#x2F;WebAssembly&#x2F;WASI&#x2F;releases&#x2F;tag&#x2F;v0.3.0" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;WebAssembly&#x2F;WASI&#x2F;releases&#x2F;tag&#x2F;v0.3.0</a>

Kimi K2.7-Code: open-source coding model with better token efficiency

Report on an Unidentified Space Station

Digital Sovereignty Becomes an Imperative as the US Reads Dutch Emails

StonkRider – Ride any stock chart