All of the points made here are also true for Mastra, for example.
> One pain point has been documentation. The framework is developing very quickly and the docs are sometimes incomplete or out of date
Where's the AI startup using LLMs to automatically generate docs, sample code, and guides for libraries?
> I think it's fair to say that "roll-your-own" would probably make less sense
I just think the article would be better if it actually answered "Why LangGraph and not these?"
BUt the pricing model and deployment story felt odd. The business model around LangGraph reminded us of Next.js/Vercel, with a solid vendor lock-in and every cent squeezed out of the solution. The lack of clarity on that front made us go with Pydantic AI.
This is by far the most frustrating part of building with LLMs. Is there any good solution out there for any framework?