Md Rahmat Ullah

We built @GraphBit because most agent frameworks felt great for demos, but started breaking down in production. Either they consumed too many resources, lacked reliability across multi-step workflows, or made observability a nightmare.

GraphBit flips that script:

Rust core blazing speed, async concurrency, and safety

Python interface developer-friendly, simple to learn

Why did you choose Rust under the hood and Python on top for GraphBit? What business and technical benefits did it deliver, and what trade-offs came with it? If you were starting today, would you make the same choice?

GraphBit s CPU-efficient design is a really smart approach making agentic AI more accessible without heavy GPU costs. I m curious though, how does it handle scaling when moving from smaller prototypes to production workloads? Are there built-in optimizations for parallel tasks or would that require additional infrastructure?