Panopticon FAQs

Question 1

How does Panopticon help save costs?

Accepted Answer

Panopticon achieves significant cost savings by leveraging local LLMs (e.g., DeepSeek Coder V2 Lite via Ollama) on your machine. This reduces reliance on expensive cloud-based LLM services for routine documentation and querying tasks.

Question 2

What is Panopticon and what does it do?

Accepted Answer

Panopticon is a developer tool that integrates local Large Language Models (LLMs) directly into your codebase. Its primary function is to create cost-efficient, 'always-live' documentation and allow you to query your codebase using natural language, synchronized with your code changes.

Question 3

Which development environments and LLMs does Panopticon support?

Accepted Answer

Panopticon seamlessly integrates with VS Code and Cursor IDEs through the Continue Extension. It supports any viable language models served by Ollama (like DeepSeek Coder V2 Lite) and uses compatible embedding models like Nomic Embed Text.

Question 4

How does Panopticon keep documentation up-to-date?

Accepted Answer

It utilizes LanceDB for efficient embedding and indexing of your codebase, creating 'always-live' documentation. While currently requiring a manual re-index after changes, future updates aim for an automated file-change based indexing strategy.

Question 5

What are the core benefits of using Panopticon?

Accepted Answer

The core benefits include substantial cost savings by using local LLMs, always-live and queriable documentation synchronized with code, and seamless integration into existing developer workflows via popular IDE extensions.

Panopticon

Panopticon

Key Features

Use Cases

Key Features

Use Cases