u/Neat-Porpoise

Anyone have a good solution for unifying the config (eg CLAUDE.md, QWEN.md), settings, skills, etc… across their suite of coding agents?

I primarily use Claude Code locally, Genie Code in Databricks workspaces for my model development and MLE work with Databricks compute, and recently added Qwen Code since the company wants us to have a backup in case we hit Anthropic limits and need to continue work. Also on the docket is testing out GLM.

However unifying all these agents is quite cumbersome. I don’t want to maintain so many separate files and skills for each agent. Right now I have a single repo that backs up all my .claude folder settings but realized that with Qwen I’ll need a separate suite.

Thoughts? Has anyone tried the new thing Databricks pushed out called Omnigent?

Was watching a recent video about not baby sitting agents (ie connecting your coding agents with more context so it can write better code) and was wondering if anyone had success doing this on Databricks?

Specifically does Genie Code connect to the mlflow traces, logs for model training, evaluation metrics, etc… to ultimately output a complete end to end ML model?

Ultimately, I as the developer, want to just focus on the evaluation/verification metrics (what I believe is the most important parts for a HITL process) for model/business success and want the agent to do the rest for code generation.