EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 11·5 min read
What I learned by putting GitHub Copilot behind a MitM proxy
TL;DR
By analyzing GitHub Copilot's network traffic through a Man-in-the-Middle (MitM) proxy, key insights into its memory usage and contextual understanding were revealed. This exploration highlights how context is becoming a crucial component of AI-driven applications.
✦ Why It Matters
Consider analyzing your own AI tools' network traffic to uncover insights that can improve their performance.
Key Takeaways
- Use a MITM proxy to inspect application network traffic.
- Understand how Copilot processes requests before user input.
- Explore local databases for session history and interactions.
- Adjust application settings to facilitate traffic interception.
How It Works
The MITM proxy intercepts HTTP requests from Copilot, allowing for real-time analysis of the data being sent and received. By configuring Visual Studio Code to route its traffic through the proxy, the author could observe the various types of requests made during the application's startup, including authentication and model discovery.
This method revealed that Copilot actively gathers context and session information even before the user types anything.