Desktop app auto-saves your coding context so interruptions don't derail you
When a phone call or meeting pulls you away from coding, coming back and figuring out where you left off can eat up 20 minutes. This app automatically snapshots what you were working on — open files, cursor position, notes — and shows it to you when you return. The goal is to skip the mental reconstruction and get back to work immediately.
Studies suggest it takes developers an average of 20 minutes to fully regain focus after an interruption. This desktop app tackles that by quietly saving a 'mental context snapshot' in the background as you code — capturing things like which files are open, where your cursor is, and any notes you had jotted down.
When you come back to your desk, the app surfaces that saved context so you can pick up right where you stopped without having to rebuild the picture in your head. It could also be handy when working alongside AI coding assistants, giving them a quick summary of your current task instead of re-explaining everything from scratch — saving time and token costs.
Key points
- Automatically saves your coding context (open files, cursor position, notes) before interruptions
- Displays the saved context when you return so you skip the 20-minute re-focus period
- Aims to reduce the well-known 'context-switching cost' developers face daily
- Could help when briefing AI coding assistants on your current task
- Released as open source, so you can use it or study how it works
Quick term guide
- developers
- Developers are people who build software, apps, or websites.
- context snapshot
- A saved record of exactly what you were doing at a specific moment, like a photograph of your work state.
- context
- The information an AI uses to understand your request, such as files, notes, and past messages.
- surface
- Here it means a distinct channel or interface where users encounter information, such as a search results page or an AI chat answer.
- token costs
- Token costs are the fees paid for the text an AI model reads and writes.
- token cost
- The money or usage spent when sending text to an AI model and getting text back.
- token
- A small piece of text used to measure AI input, output, and cost.
- open source
- Software whose code is available for people to view and often modify.