Technical notes on reliable software, type systems, security, and the small implementation details that make systems easier to trust.
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Decorators are one of Python's most powerful metaprogramming tools, widely used in the industry to write cleaner, more maintainable code.
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Decorators are one of Python's most powerful metaprogramming tools, widely used in the industry to write cleaner, more maintainable code.
Learn how to protect your FastAPI applications with composable security decorators, lazy dependency injection, and clean architecture using FastAPI Shield.
Discover how self-referencing tables and recursive SQL CTEs can replace repetitive application logic, reduce round-trips, and power subtree filtering and breadcrumb navigation.
Learn how to improve TypeScript's opaque type pattern for better protection when working with encrypted strings and sensitive data.
Learn how to extend Nox with custom decorators and classes to create a more flexible, powerful automation system for your Python projects.
Learn how to leverage Rust's const evaluation features to validate hex strings at compile time, ensuring type safety and zero runtime overhead.