Since GraphBit has a Rust core with a Python wrapper, it d be interesting to hear from others: what trade-offs do you see in using Rust under the hood? Does it make sense for your use-case / scale? Would you choose something else if you were starting fresh?

What features, tools, or approaches people consider essential for making agent workflows robust. For example: retry policies, failure detection, logging, tracing, checkpoints. How does GraphBit align with what folks need?

Most people think AI agents fail because the LLM wasn t smart enough.

But in practice, they usually fail because of the infrastructure around them.

Here are 3 patterns we keep seeing while working with teams:

Hey Product Hunt!

I m Musa, Founder & one of the first engineers behind @GraphBit