Teams aren t just adding AI into existing workflows.
They re reshaping the workflows themselves with the AI agent in the loop.
Steps get removed.
Objectives become clearer.
Old constraints disappear.
Processes reorganize around what the system can now do natively.
The real productivity gain isn t automation.
It s rethinking the architecture entirely.
Curious to hear from this crowd:
What s one workflow you rebuilt because AI made the old version irrelevant?
GraphBit
Hey Product Hunt! 👋 Musa here, Founder of @GraphBit
I built GraphBit because I was tired of the same developer pain:
Juggling slow, brittle frameworks that crash under load
Choosing between Python’s simplicity or Rust’s speed- never both
Losing control of observability and scaling in enterprise builds
GraphBit solves that.
Rust under the hood for blazing speed, safety, and async concurrency
Python bindings for a dev-friendly, easy-to-learn interface
Enterprise-first features: real-time observability, crash resilience, multi-LLM orchestration
Our vision? Make building scalable, production-ready AI agents feel as natural as microservices- secure, performant, and developer-first.
🙏 I’d love to hear: What’s your biggest pain when building AI agents? Happy to get feedback, mid-launch or post-launch.
Thanks for being here, excited to build together!
— Musa