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 🚀

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