sitting closely with this topic, and it brought back some experiences from working on a couple of projects.

Take this scenario: you ship an LLM-powered feature, the demo is clean, and all stakeholders are happy. Then three weeks into production, something breaks in a way nobody can explain.

You spend an afternoon staring at logs that tell you what happened but not why .

Then it turns out that the framework swallowed the context somewhere between step three and step four, and now you’re reading source code you didn’t write.

That is not a bug report; it is a wakeup call about the architecture.

Frameworks like LangChain let engineers build LLM-powered systems without first understanding how those systems work under pressure.…