Open-source contributor working on observability tooling & AI-powered dev workflows

Hey everyone, I'm Abhay 👋

I'm a software engineer contributing to OpenObserve, an open-source observability platform (Rust backend, Vue frontend). Most of my work is on the frontend design system and developer tooling — lately I've been deep in a large component migration and building Claude-powered PR review automation with GitHub Actions.

One thing I'm genuinely trying to figure out: for those of you using AI in your code review or CI pipelines, where has it actually saved you time vs. added noise? I've found it great for catching style drift and missed edge cases, but I'm still tuning how much to trust it on architectural feedback.

Happy to share what I've learned about open-source contribution workflows or setting up AI code review in GitHub Actions if that's useful to anyone. Looking forward to being here!