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[Other] Incident CVE-2026-LGTM

[Monitoring/Observability] The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

[Other] Show HN: Git-lazy-mount mount a repo without cloning it. Works with ordinary Git Hello!<p>This is an attempt to make google3 style repo clones work with Git. In a HN thread a few days ago the idea sparked for me.<p>It can be super useful for very large repos that need to be cloned for AI coding sessions that might only need a subset of files to accomplish something.<p>Similar to google3, files appear to be there and can be read and edited but they are only fetched when they are needed.<p>It works with normal Git commands so there is no need for a new CLI.<p>On huge catch is, running grep will force fetch all files that grep glob matches. AI coding sessions run the Grep tool quite often. To mitigate this, git-lazy-mount comes with sgrep that offloads grepping to a remote code search engine like SourceGraph.<p>With this, microVMs that run AI sessions can stay lean and start up much faster.<p>I am guessing this is probably faster than baking in the git repo in the image but I have not measured performance of it yet. It is definitely useful if the microVM is spun up with unknown repositories (something like Claude on web).<p>Curious to hear your thoughts and criticism<p>Thanks!

[Other] A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.

[Other] Show HN: DeepSeek Flash inverted the economics of agent products There is an adversarial relationship between developers and big model labs.<p>Model labs charged developers higher API prices to subsidize their own agent harness offerings. Think Anthropic charging 5x higher Claude API prices to subsidize consumer subscriptions. So Cursor in a way was subsidizing their own direct competitor.<p>DeepSeek V4 Flash totally inverted this relationship. Now you have a model that beats even Sonnet in some benchmarks and is totally opensourced. Now inference providers are racing to the bottom to optimize and give cheaper hosting. Every player with a non-SOTA is now racing to swap over to stop paying the big model lab tax, even Microsoft is switching Copilot to use DeepSeek.<p>On switching over to Deepseek:<p>- we noticed over a 100x cost decrease while similar or better performance then Gemini 3 Flash<p>- insane saving from the cached input tokens: $0.002&#x2F;1 Million tokens<p>- both DeepSeek Flash and GLM 5.2 are text-only models, so clearly multimodal training is not worth the additional cost. Language is just a much more efficient sparse representation of the world&#x2F;reasoning than vision<p>- we had a early bet on a text-only web agent harness, and now with DeepSeek this results in unique cost advantages.<p>- we rewrote our harness as a callable DSL library that a model can generate code to execute on. DeepSeek has proven phenomenal on code generation to drive an agent harness.<p>- I would highly recommend everyone to rewrite their harness to be text-only and callable via executable code leveraging DeepSeek V4 Flash.

[IDE/Editor] Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion Hi HN, Nick here. We’re launching OpenKnowledge (<a href="https:&#x2F;&#x2F;openknowledge.ai&#x2F;" rel="nofollow">https:&#x2F;&#x2F;openknowledge.ai&#x2F;</a>), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and Cursor. Available as MacOS app or CLI. Fully free&#x2F;local and OSS (<a href="https:&#x2F;&#x2F;github.com&#x2F;inkeep&#x2F;open-knowledge" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;inkeep&#x2F;open-knowledge</a>).<p>We built this because we wanted a “Google docs” like experience for writing and sharing markdown files across our team. Obsidian is the best alternative we tried, but found it doesn’t have a true “what you see is what you get” UI and it didn’t integrate well with Claude&#x2F;Codex outside of community plugins.<p>So we built OpenKnowledge. It takes shape as:<p>1. A MacOS app with a file navigator, the WYSIWYG editor, and link explorer.<p>2. Integrations with the Claude, Codex, and Cursor desktop apps. The agents can open an OpenKnowledge editor within their embedded web browsers for a side-by-side experience.<p>3. Built-in mcps, skills, and RAG for LLM-wiki and “AI Second Brain” scenarios + spec writing<p>4. An embedded terminal and CLI for TUI-first users<p>OSS stack includes: Tiptap&#x2F;prosemirror, CodeMirror, yjs (CRDT), Electron (MacOS app), Orama, remark&#x2F;rehype&#x2F;micromark&#x2F;mdast, @pierre&#x2F;trees<p>On the architecture side, the interesting eng. challenges included:<p>1. A pipeline to convert ProseMirror to markdown in a bidirectional lossless way. ProseMirror uses ASTs, which are not designed to have byte-fidelity.<p>2. A dual-observer CRDT to keep the ProseMirror and markdown state in-sync.<p>The CRDT + git also power a collaborative experience that shows what Agents are doing in the markdown, have undo&#x2F;redo, and version history. The “Share” and cloud-sync functionality are geared for team collaboration. They feel “no-code” but leverage git&#x2F;GitHub under the hood, which also means data stays fully private.<p>In that spirit, we made OpenKnowledge open source for anybody who’s curious or who’d like to contribute.<p>We’re actively thinking about plugins&#x2F;extensibility and what’s next. If you have suggestions or feedback, would love to hear it.

[Other] Show HN: Secs-man, a secrets manager you can (not) rely on This is a tool to manage encrypted local backups of secrets. The core idea is that it aims to be usable without depending on it, meaning that even if the software disappeared from the face of Earth tomorrow, your data would still be recoverable.<p>It also integrates nicely with NixOS (which is what I use, though it does not require NixOS to be used).<p>I have summed up a bit of explanation and some answers to reasonable questions in a blog post: <a href="https:&#x2F;&#x2F;baldino.dev&#x2F;blog&#x2F;secs-man&#x2F;" rel="nofollow">https:&#x2F;&#x2F;baldino.dev&#x2F;blog&#x2F;secs-man&#x2F;</a>

[Other] Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS

[Other] Show HN: Turn native language audio into flashcards and shadowing practice Here is a tool I built initially for myself to help with my German and Greek language studies. It started as a hack for creating Anki cards from native language audio. It extracts the words, finds their base forms (lemmas) and groups the examples by the lemma. At some point I realised that I have a transcription with word level timestamps that opens a lot of other opportunities. So I added a mode to click the first and last word in the transcript and it starts looping with the right gap and repeat count.<p>Another feature I use a lot is selecting an audio fragment, sending a predefined prompt to an AI to &quot;explain grammar&quot; or &quot;explain nuances of meaning&quot; and I still experimenting with prompts.<p>And because shadowing is so easy I also use it as a player to improve my English pronunciation. (I am not a native English speaker.)<p>I made a quick video showing the workflow for creating Anki cards and shadowing: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;TaR58uuDBvU?si=o5aGLAi2S-BZ7Zy9" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;TaR58uuDBvU?si=o5aGLAi2S-BZ7Zy9</a><p>The app supports 15 input languages (Japanese and Chinese are the latest experimental additions), and more than 30 output languages.<p>I would really appreciate it if you could try it <a href="https:&#x2F;&#x2F;lingochunk.com&#x2F;try" rel="nofollow">https:&#x2F;&#x2F;lingochunk.com&#x2F;try</a>. I know there are other tools with similar functionality but I created something that fits my workflow and it is fun to build.<p>Also I struggled to find public domain audio for the try page. I&#x27;d be grateful if anyone could point me to public domain sources (I used LibriVox, Wikimedia and FSI courses), or if you&#x27;re a creator, let me feature some of your own recordings with credits and links.

[Other] Show HN: Visual Workspace for Agents Based on Unix Hey HN,<p>Thijs here! I&#x27;m the founder of Prototyper and today we&#x27;re launching the first visual canvas built for agents.<p>Couple of interesting lessons from building the product that I think are worth sharing:<p>For the agents, everything is a file. In Prototyper, everything from plans, to apps, and diagrams, can be read as a file.<p>We found that a filesystem is the most natural way for an agent to navigate: it discovers new content and functionality just by traversing the tree.<p>We kept this layer deliberately thin and unopinionated, because it&#x27;s the substrate, not the experience. It&#x27;s the foundation that makes everything work on top.<p>It essentially operates as a distributed, web-based unix kernel.<p>Because of that it&#x27;s built for the agents you already use. People run all kinds of models and harnesses, often several at once.<p>With this architecture, we don&#x27;t try to lock you into one, it&#x27;s built to work with any agent that you like. That means that any agent can read from and write to your workspace.<p>It&#x27;s fast. File writes land in under a millisecond. That&#x27;s not a bogus metric, it&#x27;s what makes the whole thing feel seamless and like a real extension of your thinking. Thanks to our custom unix kernel.<p>Visual first. Every file in your workspace can be opened on the canvas. Whether you&#x27;re an engineer working on a new frontend or a PM building a product roadmap.<p>It&#x27;s a real visual workspace for the actual work, not a description of it. As said, it&#x27;s not a blank canvas with a box of primitives: the canvas represents a real unix system, which is the kind of purpose-built, opinionated experience that makes a product.<p>In essence, the substrate is generic so the things you build on it don&#x27;t have to be.<p>What&#x27;s most interesting is that by this architecture we found that we can decouple system prompt length from agent capability.<p>I&#x27;m happy to get feedback from the community and see what you all think of it :).

[Other] Show HN: ParseHawk – 100% Local Document AI with API, CLI, and Web UI I just released ParseHawk v0.1.0: Apache-2.0 licensed 100% local document AI platform that extracts JSON from PDFs, images etc. It builds on top of NuMind&#x27;s NuExtract3 but additionally enforces a provided JSON schema with constrained decoding. It works on Apple Silicon with pre-bundled vllm-metal as well as Linux + NVIDIA with vllm. Looking forward to your feedback!

[Other] Mixing Visual and Textual Code PDF: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;2603.15855" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;2603.15855</a>

[DevOps] Zero-Downtime Deployments with Docker Compose – No Kubernetes Required

[Other] GitHub shouldn't be a dependency for publishing Rust on crates.io

[Other] Show HN: Lelu – gate OpenAI agent actions on confidence and prompt injection

[Other] I rewrote PostHog's SQL parser, 70x faster, while barely looking at the code

[DevOps] Show HN: Forte – Cloud infra to get startups to production faster Forte is an opinionated cloud platform that gets developers to production faster. Developers bring their code and Forte containerizes it with autoscaling and no cold starts, securely configures auth, and provides logging insights and monitoring out of the box.<p>I used to help lead service development at AWS, and even before AI coding was widespread, our biggest bottleneck was rarely feature development. We would spend months on security prep, observability tooling, on-call optimization, and other overhead before launching new features. When I worked in startups, every team hit a surprisingly similar set of problems and spent weeks rebuilding auth, logging, monitoring, and payments.<p>Platforms like Heroku, Render, and Railway are helpful for getting a container running but don&#x27;t provide the rest of the tooling the teams need to go to production -- auth, secure defaults, and request-level logging. We built Forte to solve that entire stack of problems.<p>You can check out Forte at <a href="https:&#x2F;&#x2F;forteplatforms.com" rel="nofollow">https:&#x2F;&#x2F;forteplatforms.com</a> (it&#x27;s free to sign up and doesn&#x27;t require a payment method). We&#x27;d love to hear your questions and feedback!

[Other] RubyLLM: A Ruby framework for all major AI providers

[Other] Show HN: Nub – A Bun-like all-in-one toolkit for Node.js Colin here, creator of Nub. I’ve had the general shape of this in mind for years. Nub runs your code with stock `node`, augmented with a `--require` preload hook[0] that adds a transpiler (oxc-powered, packaged as a Node-API add-on), registers a module resolution hook[1], and injects polyfills as needed for APIs like `Worker`, `Temporal`, etc. All purely additive, your code ultimately runs using Node’s actual engine &amp; stdlib implementations.<p>[0] <a href="https:&#x2F;&#x2F;nodejs.org&#x2F;api&#x2F;cli.html#-require-module" rel="nofollow">https:&#x2F;&#x2F;nodejs.org&#x2F;api&#x2F;cli.html#-require-module</a><p>[1] <a href="https:&#x2F;&#x2F;nodejs.org&#x2F;api&#x2F;module.html#moduleregisterhooksoptions" rel="nofollow">https:&#x2F;&#x2F;nodejs.org&#x2F;api&#x2F;module.html#moduleregisterhooksoption...</a>

[DevOps] Systems optimization should be part of CI/CD