DevNotion revived: 10,000 lines of code and multi-LLM support

DevNotion is a tool that merges Notion notes with AI power. The goal: help anyone turn scattered notes into something useful without doing manual work. Instead of writing summaries or organizing chaos yourself, the AI does it. The project was dormant, but this week it got a kind of digital resurrection.

The big news is multi-model support. Previously it was locked to a single AI provider, now you can pick between GPT, Claude, Gemini, and others. Translation: more choices, less vendor lock-in, potentially lower costs if you pick cheaper models. The 10,000 new lines of code mean Yash K. Saini essentially rewrote the core, not just slapped patches on. Fifty-nine commits in one week tell the story: someone who knows what they're doing and tackled a serious challenge. This isn't random button-clicking, it's real architecture.

If you use Notion and hate manual workflows, a tool that bakes AI directly into your notes fixes the annoyance. You don't copy-paste text to ChatGPT anymore, scribble down the result, paste it back. The AI is already inside. Version 2.1 promises to smooth things out even more, with architecture that actually holds weight across different models. Right now it's in active development, but the project is public on GitHub and anyone can try it or pitch in.