Data validation
Pydantic
Pydantic is how our Python services know their data is correct — validation and types at every edge of the system.
What it is
Pydantic validates and parses data against typed models in Python, turning loosely-typed input into trusted, structured objects. It underpins FastAPI’s request and response handling.
Why we use it
Most backend bugs are bad data crossing a boundary. Pydantic rejects it at the door with clear errors, so the rest of the service can trust what it receives.
Where we put it to work
In the product,
not the slide.
01
API validation
Requests and responses checked against typed models automatically.
02
Trusted data
Input parsed into structured objects the rest of the code can rely on.
03
Clear errors
Precise messages when data is wrong, instead of failures deep inside.
Pairs with