PromptConduit: Building Analytics for AI Coding Assistants
· 6 min read
PromptConduit: Building Analytics for AI Coding Assistants
Every day, I spend hours having conversations with AI coding assistants. Claude Code helps me debug issues, Cursor generates components, and Gemini CLI answers quick questions. But here's the thing: I had no idea what I was actually asking them. What patterns emerged from my prompts? Which tools got invoked most frequently? Was I getting better at prompting over time?
These questions led me to build PromptConduit.
TL;DR
Claude Code and Cursor ship without an analytics layer. PromptConduit fills that gap — it captures, parses, and visualizes prompts across AI coding tools. After tracking 18,700+ prompts across both tools, I have hard data on what engineers actually ask AI tools to do.