MirahLabs Engineering Blog
Technical insights, tutorials, and architectures written by our design and backend engineers.
Python Type Hints and Pydantic: Building Safer, Self-Documenting APIs
Type hints transform Python from a dynamic free-for-all into a structured, IDE-friendly language. Pydantic adds runtime validation. Together they make your APIs safer and self-documenting.
Writing Clean Code: SOLID Principles with Python Examples
SOLID principles are the foundation of maintainable object-oriented code. This guide explains each principle with practical Python examples and shows how they prevent the most common design problems.
Hexagonal Architecture (Ports and Adapters) in Python Flask
Hexagonal architecture separates your business logic from infrastructure concerns. Learn how to structure Flask applications with clean boundaries between domain, application, and infrastructure layers.
Celery and Redis: Background Job Processing at Scale
Background tasks are essential for responsive web applications. Learn how to design reliable Celery task queues with Redis, handle retries, monitor with Flower, and avoid common pitfalls.
Building High-Performance CLI Tools with Python Click and Rich
Convert Python scripts into professional command-line interfaces. Build option parsers with Click and render styled logs, progress bars, and tables using Rich.
Feature Engineering for Machine Learning: From Raw Data to Model-Ready Features
Feature engineering is the most impactful step in the ML pipeline. Learn how to handle missing data, encode categoricals, create interaction features, and use automated feature selection.