How do you manage the markdown chaos from AI tools?

Honest question -- what happens to all those markdown files from Claude, ChatGPT, Cursor, and Copilot?

As a software engineer, I'm constantly generating markdown with AI tools — design documents, technical requirements, product specs,

architecture diagrams, API documentation. It's become the default output format for everything. But actually referencing them while coding? That's where things fall apart.

I've been noticing a pattern in my own workflow:

• AI generates a great code explanation or implementation guide and I copy-paste it into a random .md file

• A week later I have 30+ markdown files scattered across Downloads, Desktop, and project folders

• I open them in VS Code or Cursor, but now my editor is doing double duty — I'm trying to code AND read documentation in the same window, fighting for screen real estate with a cramped preview pane

• Half the time the files have LaTeX math or Mermaid diagrams that don't even render

• I end up with multiple browser tabs open just to read my own notes through web viewers

The worst part? When I'm working with Cursor or Claude and they're streaming output to a file, I'm constantly switching back and forth to check the result. There's no live preview that just updates as the file changes.

Curious how others handle this:

• Do you just read raw markdown in your terminal?

• Do you have a dedicated viewer?

• Do you copy-paste everything into Notion or Obsidian?

Or do you just accept the chaos?

This exact pain is why I built MEVA -- a native markdown reader with live file watching, so you can point it at any file and watch it update in real-time as AI streams its output. Launching tomorrow. But genuinely curious how others are solving this today.

Checkout detailed features at usemeva.com.