<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: pxheller</title><link>https://news.ycombinator.com/user?id=pxheller</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 15 Apr 2026 17:03:07 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=pxheller" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by pxheller in "How we made v0 an effective coding agent"]]></title><description><![CDATA[
<p>I feel like using sequential transformers generating code feels like a brute-force solution for UI generation.<p>The "obvious" path forward for frontend assistants is to move away from raw code generation toward some domain-specific language. UI is inherently structural - it should be expressed through component hierarchies that implement pre-defined design guidelines (with colors, margins, border radius etc being defined outside of the core model, and applied as a kind of theme to the model's output).<p>If we define the UI as a composition of VStacks/HStacks and predefined components, we can use diffusion models to generate the layout, and consistently apply the 'theme' afterwards. It's a much cleaner abstraction than asking an LLM to hallucinate valid CSS classes.</p>
]]></description><pubDate>Sat, 10 Jan 2026 23:20:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=46570978</link><dc:creator>pxheller</dc:creator><comments>https://news.ycombinator.com/item?id=46570978</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46570978</guid></item><item><title><![CDATA[Ask HN: What's the best way to deploy container-based apps for a small project?]]></title><description><![CDATA[
<p>Hi HN,<p>For the last couple of months I've been working on a side project I'd now finally like to publish.<p>I developed and packaged everything into a few small docker containers (2 python apps, 1 postgres db, and 1 db cleanup script in another container. I'll likely also add some reverse proxy like Nginx or Caddy) and run it locally using docker-compose, with all secrets in a .env file (although I could use docker secrets)<p>I thought about either using a managed Kubernetes service from a provider like DigitalOcean, or setting up a vServer from scratch with the help of some online guides and ChatGPT/Claude (as I don't have a lot of infrastructure experience).<p>What is your guys go-to-stack? Any recommendations that are relatively simple (or well-documented) to setup while still being cost-efficient and easy to scale<i>? What are your experiences with services like dokku or dokploy?<p></i>Re scaling: I also considered using an external Postgres provider, allowing me to scale the "worker" services horizontally when needed.<p>Asked here because I'm sure it might be relevant for others, too. Thanks in advance!</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44020505">https://news.ycombinator.com/item?id=44020505</a></p>
<p>Points: 1</p>
<p># Comments: 3</p>
]]></description><pubDate>Sun, 18 May 2025 11:23:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=44020505</link><dc:creator>pxheller</dc:creator><comments>https://news.ycombinator.com/item?id=44020505</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44020505</guid></item><item><title><![CDATA[New comment by pxheller in "Show HN: Basecoat – shadcn/UI components, no React required"]]></title><description><![CDATA[
<p>This is great! I really like the style of shadcn/ui.<p>Recently I’ve been using ChatGPT to convert shadcn components to JinjaX. Will definitely give yours a try!</p>
]]></description><pubDate>Wed, 14 May 2025 07:21:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=43981795</link><dc:creator>pxheller</dc:creator><comments>https://news.ycombinator.com/item?id=43981795</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43981795</guid></item><item><title><![CDATA[New comment by pxheller in "Ask HN: What are you working on? (February 2025)"]]></title><description><![CDATA[
<p>Still working on RunGen.AI – a platform to deploy any LLM or Image model from HuggingFace by just pasting a link.<p>Still a lot of work to do, but solves a real pain I had while building my previous side project</p>
]]></description><pubDate>Mon, 24 Feb 2025 07:45:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=43156813</link><dc:creator>pxheller</dc:creator><comments>https://news.ycombinator.com/item?id=43156813</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43156813</guid></item></channel></rss>