https://cruver.ai/tags/claude-code/ Recent content in Claude-Code on Hullabalooing Hugo en Tue, 06 Oct 2026 00:00:00 -0400 https://cruver.ai/writing/posts/software-for-an-audience-of-one/ Tue, 06 Oct 2026 00:00:00 -0400 https://cruver.ai/writing/posts/software-for-an-audience-of-one/ <p>For most of the history of software, an application existed because enough people wanted it to pay for the time it took to build. A tool that only one person needed usually didn&rsquo;t get written, unless that person happened to be a programmer with a lot of spare evenings. Everyone else adapted to whatever the market offered.</p> <p>That has changed. With modern LLM coding tools, a person with a clear picture of the application they want can build it, even if they will be its only user. I think of it as custom software on demand: not a product with a market, but a tool made for one person&rsquo;s way of working. I&rsquo;ve been building software this way for most of this year, and I think it is one of the more important things these tools make possible.</p> https://cruver.ai/gpu-ai/posts/claude-code-local-llms-1768966311/ Tue, 20 Jan 2026 00:00:00 +0000 https://cruver.ai/gpu-ai/posts/claude-code-local-llms-1768966311/ <p>Every query to Claude Code means sending my source code to Anthropic&rsquo;s servers. For proprietary codebases, that&rsquo;s a non-starter. With vLLM and LiteLLM, I can point Claude Code at my own hardware - keeping my code on my network while maintaining the same workflow.</p> <h2 id="the-architecture">The Architecture<a class="anchor" href="#the-architecture">#</a></h2> <p>The trick is that Claude Code expects the Anthropic Messages API, but local inference servers speak OpenAI&rsquo;s API format. LiteLLM bridges this gap. It accepts Anthropic-formatted requests and translates them to OpenAI format for my local vLLM instance.</p>