Ask HN: Who build production apps with out seeing code?

Show HN: Docs.dev – A docs site you own, where AI drafts and you edit in place

Hi HN. Some backstory, because it explains why this exists.Our startup originally worked on AI-assisted documentation generation. When Claude Code and Cursor's agents matured, we asked ourselves the uncomfortable question: does a standalone "AI writes your docs" product still need to exist? We concluded no, and pivoted to what's now keyboard.dev.That left us with the docs.dev domain. We had a buyer in the docs space lined up and were genuinely excited for it to have a proper home. A month later, they changed their mind. So instead of letting a domain we loved sit parked, we built the docs platform we'd always wanted as a side project.The workflow it's built around: coding agents already write documentation well, but reviewing agent-written docs in raw MDX is miserable. So with docs.dev, Claude Code updates your docs template in the same session where it ships your code (the template carries a CLAUDE.md and skills, so it knows the conventions). Then you go to your actual docs site, on your domain, log in as an admin, and review the page exactly as readers will see it. Anything the AI got wrong, you edit or delete in place, directly on the live site. Publishing is a git commit to your repo, and CI redeploys. The same URL serves readers and, for admins, becomes the editor.The economics are the other half of the pitch. There's no hosting on our side and no content database: one click clones the template into your GitHub account and deploys it to your Cloudflare account with push-to-deploy CI. AI writing, image generation, and chat run on Cloudflare's own primitives (Workers AI and friends), billed at Cloudflare's rates on your account. You're not paying a docs vendor to host your own documentation, and you're not paying their markup on AI calls. The optional docs.dev service adds exactly one thing, team sign-in, and it's a sign-in check, not a dependency: if we disappear tomorrow, your site keeps serving.We deliberately built on existing technology rather than reinventing it: Fumadocs (Next.js + MDX) for the docs framework, chenglou's pretext layout engine for the reading experience (prose flows around figures like a magazine spread, while the server still renders plain indexable text for crawlers and no-JS readers), and Cloudflare's out-of-the-box platform pieces for deploys, CI, and AI.Honest caveats: it requires the Cloudflare Workers Paid plan ($5/mo) because the server Worker is ~5.3 MiB gzipped, over the free plan's 1 MiB limit. It's a side project, not our main company. And the magazine-style layout is the kind of thing you either love or find gratuitous. We'd genuinely like to hear which.There's a walkthrough video on the homepage if you'd rather watch the workflow than read it. Happy to answer questions about the agent workflow, the in-place editing, the ownership model, or the pivot. Note it is an early but hope this helps people that wants easy, cheap, and effective documentation on their terms

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linktothenew

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Show HN: AI harness for C/C++ with GDB, sanitizers, perf and compile tools

hey guys, i wanted to show one of my side projects.The idea is a coding harness (independent of models) natively designed for C/C++ developer workflows.I'm a C++ dev and do not find claude code work well with C++ toolchain like gdb and perf. The current version has integrations for gdb, clang-tidy, cppcheck, sanitizers, perf, benchmarking, compile DB navigation, Godbolt, symbolization, binary inspection, and decompilation.It supports Anthropic, OpenAI, Gemini, and self-hosted models. There are editor workflows for VS Code, CLion, emacs, neovim, and cursor.

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anirudhak47

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Show HN: Gist Discover – TikTok for ArXiv Summaries

Dunno about you, but I cannot keep up with the volume of AI research. Reading one paper properly takes 30–60 minutes, and it's hard to know which are even worth it.I built Gist, an AI summarizer for ADHD brains. Each paper is a clean slide deck with four layers you move through:1. the Gist – the whole idea 1-2 sentences 2. Logic – breakdown of the argument + evidence in discrete ideas 3. Counter-Argument – strongest argument against the author (AI generated) 4. Steelman – transcendent rebuttal to the counter-argument (AI generated)There's integrated TTS audio too — hit play to listen.I went overboard and post-trained a model specifically for this.When I say I went overboard, I really did! I burned $130k of AWS Claude credits on the dataset, 1/3rd of which is Arxiv papers. My goal was to absolutely max out on data quality over quantity. And it worked!I started with a looping 5-step multi-teacher editorial pipeline using Claude Opus 4.6 & Gemini 3.1 Pro, then distilled it into Gemini 2.5 Flash single shot model that (according to my evals) beats all the best single-shot frontier model for this task on quality (while being 20x faster and 10x cheaper).Here's a random one from the feed right now:Qwen-Image-Agent: Bridging the Context Gap in Real-World Image GenerationQwen-Image-Agent scores 45.4 on a benchmark where the direct image generator it's built on scores 17.4 — a 161% improvement from the same model, same weights, same prompt. The difference isn't better pixels. It's a system that asks "What else do you need?" before it ever draws a single one.gist.is/discover is a free feed of all the arXiv papers I've run through it. No signup. Right now, the feed is totally random, but if this gets traction I'll build a proper recommendation system.Read the gist in ~10 seconds and go deeper if you want (inc going straight to the source), or tap Next→ and try again.I also created Gist Discover extensions for your IDE so you can read / listen / learn while your AI agents work.Cursor/Windsurf: <a href="https://open-vsx.org/extension/Transcendence/gist-discover" rel="nofollow">https://open-vsx.org/extension/Transcendence/gist-discover</a>VS Code: <a href="https://marketplace.visualstudio.com/items?itemName=Transcendence.gist-discover" rel="nofollow">https://marketplace.visualstudio.com/items?itemName=Transcen...</a>Feedback welcome! Enjoy! -Matt

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MediaSquirrel

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Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion

Hi HN, Nick here. We’re launching OpenKnowledge (<a href="https://openknowledge.ai/" rel="nofollow">https://openknowledge.ai/</a>), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and other agents. Available as MacOS app or Web UI+CLI. Fully free/local and OSS.We built this because we wanted a Notion-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 WYSWIG UI and it didn’t integrate well with Claude/Codex outside of community plugins.So we built OpenKnowledge. It takes shape as:1. A MacOS app with a file navigator, the WYSIWYG editor, and link explorer.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.3. Built-in mcps, skills, and RAG for LLM-wiki and “AI Second Brain” scenarios + spec writing4. An embedded terminal and CLI for TUI-first usersOSS stack includes: Tiptap/prosemirror, CodeMirror, yjs (CRDT), Electron (MacOS app), Orama, remark/rehype/micromark/mdast, @pierre/treesOn the architecture side, the interesting eng. challenges included:1. A pipeline to convert ProseMirror to markdown in a bidirectional lossless way. ProseMirror uses ASTs, which are not designed to have byte-fidelity.2. A dual-observer CRDT to keep the ProseMirror and markdown state in-sync.The CRDT + git also power a collaborative experience that shows what Agents are doing in the markdown, have undo/redo, and version history. The “Share” and cloud-sync functionality are geared for team collaboration. They feel “no-code” but leverage git/GitHub under the hood, which also means data stays fully private.In that spirit, we made OpenKnowledge open source for anybody who’s curious or who’d like to contribute.We’re actively thinking about plugins/extensibility and what’s next. If you have suggestions or feedback, would love to hear it.

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engomez

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Show HN: writing tasks with focused context + instructions = sharper AI

To get an AI to do a task well, you need to give it the right context and the right task description. I've had a lot of struggles working in a large codebase getting AI to follow the existing patterns and architecture. So I started building a VS Code / Cursor extension that lets you quickly snap together sub prompts/instructions relevant to a specific task. After seeing the value of this, I realized you could make those sub prompts more customizable by using a liquid syntax engine.That worked fine for a few days, until the original context blocks got stale as the project progressed. I wrote an MCP server that can update those blocks, creating a feedback loop. A few days later I added an amend option too, so the AI can write a log and decision record as it goes.At this point I realized there were a lot of opportunities here: my AI isn't spending the first 5 minutes doing research, I've got better control over my context window, there's less irrelevant data leaking in from my agents.md file when I switch repos, I can write prompt groups for separate workflows, and so on. The last blocker for me was that I actually use Claude Code and not VS Code much anymore. So I figured out how to hook into the external editor command to open a TUI directly from CC and write a prompt from there.Now I'm happy to finally share it after spending the last 5 months perfecting it. Would love for you to try it and let me know what you think, even if its not something for you - why?More details see GH: <a href="https://github.com/simondevries/prompt-foundry" rel="nofollow">https://github.com/simondevries/prompt-foundry</a>install vscode: <a href="https://marketplace.visualstudio.com/items?itemName=sdevries.prompt-foundry" rel="nofollow">https://marketplace.visualstudio.com/items?itemName=sdevries...</a>Install OpenVsx: <a href="https://open-vsx.org/extension/sdevries/prompt-foundry" rel="nofollow">https://open-vsx.org/extension/sdevries/prompt-foundry</a>

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espresso_dev

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Show HN: Nib, collaborative font editor on the web

hi hn! Title basically covers it. I made Nib over the course of about a year and a half. It's a collaborative font editor, kind of like figma but for type design instead of UI design. Also has AI features for generating glyphs, versioned export, font import, advanced bézier curve editing features...and cursor chat. Among other features. Lemme know if you find any bugs!

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johnnydamacha

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