Posted inProgramming
Stop Writing Boilerplate: A Guide to Python Dataclasses, Attrs, and Pydantic
Tired of manual boilerplate? Discover how to use Dataclasses, Attrs, and Pydantic to build immutable, high-performance Python models that scale.
Posted inProgramming
Stop Fighting Log Chaos: Building a Pydantic Normalization Pipeline
Tired of unsearchable logs? This guide shows you how to build a high-performance log normalization system using Python and Pydantic v2 to turn text chaos into validated JSON.
Posted inAI
Stop Fighting Regex: Build an Intelligent ETL with LLMs and Pydantic
Ditch fragile Regex. Learn how to build a modern ETL pipeline that converts messy, unstructured text into clean, validated SQL data using Python, GPT-4o, and Pydantic.
Posted inProgramming
SQLModel in FastAPI: Building Type-Safe APIs Without the Pydantic + SQLAlchemy Boilerplate
SQLModel unifies SQLAlchemy ORM and Pydantic validation in a single class definition, eliminating the need to maintain synchronized database and API schemas. After six months in production, it has consistently reduced model code by around 40% with no loss in type safety. This guide covers the complete workflow: quick setup, the Base/Table/Read class pattern, relationships, Alembic migrations, async support, and the production gotchas worth knowing before you hit them.
Posted inAI
Guardrails AI in Production: Lessons from 6 Months of Validating LLM Outputs
Moving LLMs to production requires more than good prompts. After 6 months of using Guardrails AI, I share how to use Pydantic, custom validators, and re-asking to ensure 100% data integrity.
Posted inAI
Extract Structured Data from LLMs with Instructor and Pydantic: No More JSON Parsing Nightmares
Stop fighting with malformed JSON from LLMs. Learn how to use Python's Instructor library and Pydantic to extract reliable, type-safe structured data for production AI applications.
Posted inAI
Build a Smarter Inbox: Automating Email Triage with LangChain and the Gmail API
Ditch the manual triage. Learn how to build a production-grade system using LangChain for email classification and the Gmail API to automate drafting, cutting response times from hours to minutes.
Posted inProgramming
Stop Fighting Data Validation Bugs: A Deep Dive into Pydantic v2
Tired of production crashes caused by dirty data? Learn how Pydantic v2 uses a Rust-powered core to provide lightning-fast, type-safe validation and configuration for modern Python.
Posted inProgramming
Build a REST API with Python FastAPI: From Zero to Production-Ready
Learn how to build a production-ready REST API with Python FastAPI, covering Pydantic validation, route handlers, middleware, and deployment with Gunicorn. Based on real-world experience migrating from Flask under production pressure.