Inspiration

Every codebase accumulates decisions, workarounds, and hard-won lessons that live nowhere -- or worse, live in the random message apps or the heads of people who have already left. GHOST recovers that lost context and surfaces it directly in your editor.

What it does

GHOST builds a live context layer over your Python project. It analyzes git history, Jira, Slack and Mail, captures runtime behavior, and uses AI to synthesize the why behind code decisions -- displayed as colored overlays right above your functions. This not only helps you, the end user, but also the context could be crucial for your AI angents.

How we built it

The code is built in kotlin, along with a demo project to try it out in python.

Challenges we ran into

Learning a whole new language and integrating our code with several apis.

What's next for Ghost Angel

We would like to actually use it in a production environment, instead of using mock ups.

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