I got tired of copy-pasting GitHub issues into AI chats. So I fixed it.

Every developer I know has done this. You're debugging something and find a GitHub issue that looks exactly like your problem. 40 comments. Code snippets. Someone from the core team explaining the root cause. Gold. So you paste the URL into Claude or ChatGPT - and what the model gets is a mess. Navigation bars. Sidebar labels. Reaction emojis. Repo metadata. Random page chrome. The actual issue thread is buried somewhere in between. That means more tokens, more noise, worse answers. Sometimes it gets even worse. The model starts referencing unrelated UI text or picks up junk from the page layout, confidently reasoning about something that has nothing to do with your original issue. So now you're debugging the AI context itself before you can debug the real bug. Sure, you can manually copy the title, description, comments, and code blocks. But that's easily 2 minutes every time. Do that 5 times a day and you're losing 10+ minutes daily to pure workflow friction. The fix So I built githu