3h ago · 1 min read · Pydantic V2 reference — what changed from V1 and what matters in production. V1 → V2 migration: the four things that changed # V1: from pydantic import validator class Model(BaseModel): class Config: orm_mode = True @validator("email"...
Join discussion3h ago · 2 min read · SQLAlchemy 2.0 reference — the patterns that actually matter. session.query() is legacy — use select() # Old (SQLAlchemy 1.x): users = session.query(User).filter(User.email == "alice@example.com").all() # New (SQLAlchemy 2.0): stmt = select(User).wh...
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Join discussion5h ago · 2 min read · FastAPI patterns I find myself writing in every new Python API. Pydantic v2 validation (the best part of FastAPI) class UserCreate(BaseModel): name: str = Field(min_length=1, max_length=100) email: EmailStr # validates emai...
Join discussion17h ago · 6 min read · Introduction Artificial Intelligence models are rapidly moving from experimental environments into real-world production systems. Organizations today deploy machine learning models for applications su
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1d ago · 25 min read · This article shows how to build end-to-end, code-first LLM observability in a FastAPI application using the OpenTelemetry Python SDK. Instead of relying on vendor-specific agents or opaque SDKs, we wi
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2d ago · 7 min read · The Honest Truth: The "Frontend-Only" Trap Let’s be real. As a Flutter dev with seven years in the game, I’ve spent my life in a world of Widgets, Stateful logic, and Streams. I can build a beautiful
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2d ago · 5 min read · Introduction As part of improving my skills in data science, machine learning, and backend development, I decided to build a practical project that analyzes public opinion from social media. The idea
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4d ago · 14 min read · I originally got asked to write about app/azure_integrations/azure_maps.py—specifically the cache key scheme (tile vs geohash), TTL heuristics by zoom level, and the fallthrough behavior to the upstream geocoder with backoff. That’s exactly the post ...
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