Anyone using telemetry data in tandem with AI coding agents?
Hey folks 👋
I'm building an open-source dev tool that turns telemetry data into knowledge graphs that can be used as context in AI coding agents for debugging purposes or improving performance & costs.
Why? My intuition is three fold:
(1) coding agents are much more useful when they understand how a system actually behaves in production, not just what the repo looks like
(2) using raw telemetry data (for example traces) doesn't really work with coding agents at scale
(3) telemetry context graphs might be even cheaper and more efficient to query compared to using raw telemetry data
Before spending too much time on this & going down the rabbit hole, I'm trying to sanity-check my assumptions and assess if this is actually useful for people building/running AI systems in production. Curious to hear from software engineers that have tried something like this: what worked & what didn't, etc.
Happy to hear thoughts directly in the comments and if anyone's interested in helping out with feedback on the actual tool as I build it, please let me know and I can send more details in private - not my intention to spam anyone.
Appreciate it 🙇