Many teams spend too much time setting up documentation sites. They wrestle with boilerplate, complex config files, and slow rebuilds that hurt productivity. Keeping the site in sync with code changes feels like a chore, and adding AI‑ready features often means stitching together multiple tools. Lock‑in to a hosted platform raises cost and limits flexibility, while open‑source alternatives sometimes lack built‑in search, theming, or easy export for language models. These friction points slow down releases, frustrate contributors, and make it harder to keep documentation accurate and discoverable.
Blume removes those barriers. Drop a folder of Markdown or MDX files into a project and run a single command to get a production‑grade site. The CLI scans the folder, builds a hidden Astro app behind the scenes, and serves pages with instant hot reload. No client‑framework JavaScript ships by default, so pages load fast and score well on Core Web Vitals. Configuration lives in a single TypeScript file that editors validate before a build, catching mistakes early. When you need more control, one command ejects the runtime into a standalone Astro app, giving you full ownership without losing the Blume package.
AI readiness is built in. Append .md to any URL to get raw Markdown for agents, or enable a flag that emits llms.txt and llms-full.txt. An optional in‑page Ask AI assistant answers reader questions using any OpenAI‑compatible endpoint, and a Model Context Protocol server exposes read‑only tools like search_docs and get_page for IDE integrations. The workflow stays simple: blume dev for live preview, blume build for static output, and blume sync to pull remote content from Notion, GitHub, or other sources.
By cutting boilerplate, accelerating builds, offering AI features out of‑first outputs, and providing a clear eject path, Blume lets teams focus on writing great docs instead of maintaining the site. Try it with the GitHub repo and see how fast your documentation can go from folder to live site.
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