<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Self-Hosting on NoRaincheck</title><link>https://noraincheck.github.io/tags/self-hosting/</link><description>Recent content in Self-Hosting on NoRaincheck</description><generator>Hugo</generator><language>en-US</language><copyright>NoRaincheck</copyright><lastBuildDate>Sun, 13 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://noraincheck.github.io/tags/self-hosting/index.xml" rel="self" type="application/rss+xml"/><item><title>Self-Hosted Agentic Engineering</title><link>https://noraincheck.github.io/posts/self-hosted-agentic-engineering/</link><pubDate>Sun, 13 Sep 2026 00:00:00 +0000</pubDate><guid>https://noraincheck.github.io/posts/self-hosted-agentic-engineering/</guid><description>&lt;p&gt;Recently I&amp;rsquo;ve been playing around a lot more with local-first software from &lt;a href="https://github.com/kenn-io"&gt;kenn-io&lt;/a&gt;. I have been enjoying it a lot, and it has made me think about the viability of single-software-engineer &amp;rsquo;teams'.&lt;/p&gt;&#10;&lt;p&gt;The key parts are:&lt;/p&gt;&#10;&lt;ul&gt;&#10;&lt;li&gt;&lt;code&gt;agentsview&lt;/code&gt; is tremendously helpful in measuring and assessing the quality of agentic sessions, which is important when optimising your harness and the tooling around it (e.g. if you are using the Pi harness).&lt;/li&gt;&#10;&lt;li&gt;&lt;code&gt;roborev&lt;/code&gt; is incredible as a local-first tool. I now essentially have it running on all my personal projects as an async (in the background) way of ensuring code review is done on my commits. Even when working with a team, this is an amazing piece of software since it allows/enforces reviews before pushing/working on a PR in your team&amp;rsquo;s centralised version control.&lt;/li&gt;&#10;&lt;li&gt;&lt;code&gt;kata&lt;/code&gt; is an interesting alternative to beads. Although I haven&amp;rsquo;t used it in anger, I can definitely see its applicability, particularly in managing issues and the like locally as opposed to being dependent on a SaaS platform. Even using it as a local Trello (where your agents can access tasks and receive feedback) is useful enough as a tool.&lt;/li&gt;&#10;&lt;/ul&gt;&#10;&lt;p&gt;Outside of the &lt;a href="https://github.com/kenn-io"&gt;kenn-io&lt;/a&gt; tooling, I&amp;rsquo;ve also been looking at &lt;a href="https://leafwiki.com/"&gt;LeafWiki&lt;/a&gt; as a simple locally hosted wiki. Combined with a simple Go server that allows for scaling to zero (e.g. self-hosting the wiki or an MCP server), it has really allowed local development to take off without worrying too much about local resource consumption.&lt;/p&gt;</description></item><item><title>Starting Up Matrix with Docker Compose</title><link>https://noraincheck.github.io/posts/starting-up-matrix-with-docker-compose/</link><pubDate>Sun, 01 Mar 2026 00:00:00 +0000</pubDate><guid>https://noraincheck.github.io/posts/starting-up-matrix-with-docker-compose/</guid><description>&lt;h2 id="starting-up-matrix-with-docker-compose"&gt;Starting Up Matrix with Docker Compose&lt;/h2&gt;&#10;&lt;p&gt;&lt;em&gt;March 2026&lt;/em&gt;&lt;/p&gt;&#10;&lt;p&gt;Matrix has a lot of complicated self-hosting docs, mainly to do with federation&#10;and hosting. If you&amp;rsquo;re just self-hosting and not worried about setting up&#10;ingresses/federating, its actually fairly simple to setup Matrix. Here is a&#10;&lt;code&gt;docker-compose.yml&lt;/code&gt; file that will do it. The only bit of configuration is to&#10;pull up the &lt;code&gt;element_config.json&lt;/code&gt; though that can be left as default values (you&#10;can override them later)&lt;/p&gt;</description></item><item><title>What if I tried self-hosting LLM Code Tooling?</title><link>https://noraincheck.github.io/posts/what-if-i-tried-self-hosting-llm-code-tooling/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://noraincheck.github.io/posts/what-if-i-tried-self-hosting-llm-code-tooling/</guid><description>&lt;h2 id="what-if-i-tried-self-hosting-llm-code-tooling"&gt;What if I tried self-hosting LLM Code Tooling?&lt;/h2&gt;&#10;&lt;p&gt;&lt;em&gt;July 2025&lt;/em&gt;&lt;/p&gt;&#10;&lt;p&gt;Currently Code AI tooling is going through a weird cycle. We have the Windsurf x&#10;OpenAI deal falling through, Cursor with some interesting (bad) pricing changes,&#10;Claude Code being a loss leader &amp;ndash; which leads me to think, so what would&#10;self-hosting this on a laptop look like?&lt;/p&gt;&#10;&lt;p&gt;Firstly, there are a lot of options which exist already, however the reality is&#10;that my using of AI auto-complete and agentic mode is fairly limited. With that&#10;in mind, I think my current setup is rooted mainly in the &lt;code&gt;llama.cpp&lt;/code&gt; world of&#10;things.&lt;/p&gt;</description></item><item><title>LLMs - in Review (2024)</title><link>https://noraincheck.github.io/posts/llms-in-review-2024/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><guid>https://noraincheck.github.io/posts/llms-in-review-2024/</guid><description>&lt;h2 id="llms---in-review-2024"&gt;LLMs - in Review (2024)&lt;/h2&gt;&#10;&lt;p&gt;&lt;em&gt;December 2024&lt;/em&gt;&lt;/p&gt;&#10;&lt;p&gt;2024 was the first year where I took LLMs seriously. I successfully hosted a&#10;Llama 70b parameter model in production which was used as with&#10;&lt;a href="https://www.continue.dev/"&gt;continue.dev&lt;/a&gt; for a self-hosted co-pilot&#10;replacement, along with a code autocomplete like&#10;&lt;a href="https://qwenlm.github.io/blog/qwen2.5-coder-family/"&gt;Qwen Coder&lt;/a&gt; or&#10;&lt;a href="https://deepseekcoder.github.io/"&gt;Deepseek&lt;/a&gt;, these were fine replacements and&#10;surprisingly robust.&#10;&lt;a href="https://huggingface.co/docs/text-generation-inference/index"&gt;Huggingface&amp;rsquo;s TGI&lt;/a&gt;&#10;along with &lt;a href="https://github.com/triton-inference-server/server"&gt;Triton Server&lt;/a&gt;&#10;were the main heroes for this project, (Triton was used to serve &lt;code&gt;onnx&lt;/code&gt; models&#10;for embeddings) though I&amp;rsquo;ve yet to find a &amp;ldquo;good&amp;rdquo; embedding model. At this stage&#10;in time, most of the vector database solutions &amp;ldquo;feel&amp;rdquo; the same and can all&#10;seemingly be trivially hosted via Kubernetes.&lt;/p&gt;</description></item></channel></rss>