Giving AI Agents the Context They Need

AI coding assistants like Claude Code, Cursor, and GitHub Copilot are remarkably capable. They can write functions, debug code, refactor entire files. But they all share the same limitation: they don’t know what you’ve been doing.

Every conversation starts from zero.

The Context Gap

When you ask an AI assistant to help with a bug, it doesn’t know:

• That you spent the last two hours in the authentication module
• That you switched between three different files
• That you had a Slack conversation about this exact issue
• That you looked at the production logs twenty minutes ago

You have to explain all of this. Every time. And the explanation is never as good as actually having been there.

What Stubble Enables

Stubble maintains a timeline of your work—what apps you used, what files you edited, what meetings you attended. This context can be shared with AI agents to give them the background they need.

Instead of starting from scratch, an AI assistant can understand:

• “You’ve been working on the auth module for 2 hours”
• “You switched between UserService.ts and AuthController.ts repeatedly”
• “Your last meeting discussed the OAuth migration”
• “You searched for ‘token refresh’ in the logs”

This context transforms generic AI into a genuine assistant that understands your specific situation.

How It Works

Stubble exposes your work context through a local API. AI tools that support it can query:

• Recent activity by time range
• Files and apps used in the current session
• Project associations based on folder patterns
• Meeting context from calendar integration

The AI agent asks for context, Stubble provides it, and suddenly the assistant knows what you know.

Privacy Preserved

Here’s the key: this context sharing is entirely local. Stubble runs on your Mac. Claude Code runs on your Mac. The context never leaves your device.

You’re not sending your work history to a cloud service. You’re letting two local applications talk to each other. Same machine, same privacy guarantees.

The Future of AI Assistants

Right now, AI assistants are powerful but amnesiac. Every conversation is a fresh start. Every explanation is from scratch.

Context-aware AI changes this. When your assistant knows what you’ve been working on, it can:

• Suggest relevant code based on recent changes
• Understand the project structure you’ve been navigating
• Reference conversations and decisions from earlier
• Build on work instead of starting over

This is where developer tools are heading. Not smarter models—smarter context.