This repository serves as a demonstration sandbox for code writer and code understanding capabilities using Glean's AI-powered code search and analysis.
This repo contains example code and structured demo scenarios designed to showcase how non-technical stakeholders can query codebases in natural language to extract business context, regulatory information, and technical insights without reading code.
The demos/ folder contains comprehensive demo scenarios, including:
- Quick-Impact Code Understanding Demo Ideas for Non-Technical Medtronic Roles - 12 structured demo scenarios covering use cases like:
- Legacy code forensics
- Compliance impact analysis
- Bug impact assessment
- Requirements traceability
- Security vulnerability audits
- And more...
Each demo includes scenario context, user roles, example questions, live flow walkthroughs, business value propositions, and implementation notes.
Additional synthetic data for demonstration purposes is available in this shared folder:
Synthetic Demo Data on Google Drive
This data is synthetic and safe for demonstration use.
Here's a simple Hello World program in Python:
print("Hello, world!")Run this code to see the classic greeting printed to your console.