Any reason for writing everything from scratch and not using Langgraph?

[adsk2050]

Langgraph and Langchain make it very easy to build agents. Any specific reason for writing everything from scratch?

For example, OpenAI's Structured outputs API practically ensures the output schema of the data and langchain has good support for it. To write everything needed to make it work from scratch seems a bit cumbersome and redundant, doesn't it?

[omkar-334]

langchain and llamaindex offer too much abstraction. When you want to debug, it becomes cumbersome. Writing it from scratch gives more control and we can debug every step of the process