There’s a weird contradiction in modern AI development.We have
better tools than ever.We’re building smarter systems with cleaner
abstractions.And yet, every time you try to swap out a component in
your stack, things fall apart.Again. This isn’t just an
inconvenience.It’s become the norm. You’d think with all the
frameworks and libraries out there (LangChain, Hugging Face,
MLflow, Airflow) we’d be past this by now.These tools were supposed
to make our workflows modular and composable.Swap an embedding
model?No problem.
There’s a weird contradiction in modern AI development.We have
better tools than ever.We’re building smarter systems with cleaner
abstractions.And yet, every time you try to swap out a component in
your stack, things fall apart.Again. This isn’t just an
inconvenience.It’s become the norm. You’d think with all the
frameworks and libraries out there (LangChain, Hugging Face,
MLflow, Airflow) we’d be past this by now.These tools were supposed
to make our workflows modular and composable.Swap an embedding
model?No problem.