You've got a Claude Code session running. You throw a command at it. And somehow, it immediately understands your project's weird naming conventions, your quirky architectural decisions, and...
You're running Claude Code in your development workflow, and something important happens—a file gets written, a test fails, a security issue is detected. You think: "I should notify Slack.
Have you ever wished your code editor could think alongside you, catching bugs before you ship them and suggesting architectural improvements without leaving your IDE?
Ever find yourself reaching for the mouse when you're deep in coding, only to remember that keyboard shortcuts would get you there three times faster? Yeah, we've all been there.
You're running Claude Code in your organization. It's humming along, automating code reviews, generating tests, refactoring your monolith. But somewhere in the background, data's being collected.
You're probably familiar with the typical AI workflow: ask a question in a chat interface, get a response, copy-paste the code into your terminal, run it, debug. Rinse and repeat. It's clunky.
Ever found yourself context-switching between your editor and a terminal, wishing you could harness AI assistance in both places simultaneously? That's exactly the problem we're solving today.