avikalp

The AI applications that I build have a core loop that does most of the work, and then most of the other components are designed to make sure that the output is actually correct and helpful. The components that I use for that -- are they also compounding the failure rate as this article suggests?

I have always felt that my orchestration is supposed to increase the reliability because that is what the pipeline is doing. Checking the work of the main agent and giving feedback. But this article seems to be arguing otherwise. That adding more agents in the pipeline just makes the entire system work less reliably.

This is only true for "development branch" CRs/pull requests. The whole is greater than the sum of the parts. Every small change in the feature that you are building might make complete sense, so every dev-to-feature branch pull request would get approved easily.

But if you not also reviewing the feature-to-main branch pull request, you are just inviting problems. That is a bigger CR that you should review carefully, and there is no way that could be a small CR.