himmi-01

We're building and deploying agents faster than normal SaaS because there are so many frameworks. I talked to teams seeing weird problems with their agents after they are in production. Tool failure, backend latency, hallucinations, known prompt injection etc. Sharing EvalMonkey, so you can test the agent and save the frustration later when tracking a single trace. Comes with CLI for Claude Code/Cursor as well.

I'm curious about the token usage when it scans across multiple repositories to finding similar methods. As our code grows so fast, is it sustainable ?

Are you saying that the partner program takes time and not worth integrating ? I was planning to gather data of users via LinkedIn oauth, haven't started it, but happy to hear your experience

Nice, thanks for quick response. Appreciate it

If I eat something and gets infection, how will it predict?

How did you get this idea? What was the inspiration behind it? I mean who would of duplication :) ?!

This one is so good. Bookmarked. Thanks. I think the only thing I need now is to enter a city name and it gathers data if available.

Thanks for open-sourcing it . Curious, how does it get LinkedIn data? From scraping or API call?

I really like tracking things. And with recent changes in agentic coding, these harnesses are missed. Though I was exploring Traycer AI for the use case, would you say this GitHub repo provides same stuff for free ?

I think this explanation is much easier to grasp :). And simpler to introduce to people, as many of the tech people still prefer better UX.

Does it gather code level context itself ? Or we need to provide ?