Devs: what’s the #1 thing you wish your AI framework did better?
We’ve seen a wave of AI tools for building “workflows” but what about the actual frameworks that developers rely on?
A good framework should feel like infrastructure:
🛡 Reliable under scale
⚡ Fast and efficient
🔎 Observable when things break
🐍 Easy to use without fighting the API
The truth is… most frameworks today feel great in a demo but don’t hold up in production. That’s why we’re building @GraphBit- a developer-first, enterprise-grade Agentic AI framework.
Built with Rust performance + Python simplicity, GraphBit gives devs:
🔀 Multi-LLM orchestration
📚 RAG-ready primitives
🛡 State, retries, guards, and concurrency built-in
📊 Observability & tracing out of the box
👉 We’re launching soon: @GraphBit on Product Hunt
Curious: for those of you building with frameworks like LangChain or CrewAI, what’s the one thing you wish the framework handled better?
— Musa 🚀
Replies
We are building on LangChain, and my wish is to reduce redundant functionality or modules. So, we can use only features.
GraphBit
@viriava Exactly, that’s our goal too. GraphBit’s modular core lets you plug in orchestration or data layers without replacing your LangChain setup. Curious which parts you’d streamline first? Explore here the framework, it's open source: https://github.com/InfinitiBit/graphbit