Recent content on Move into the Future
Decorators are one of Python’s most powerful metaprogramming tools, widely used in the industry to write cleaner, more maintainable code. They excel at solving “cross-cutting concerns”—logic that applies to many different parts of your application but doesn’t belong to the core business logic of any single function.
Authentication and authorization are critical components of any web application, but implementing them can quickly become complex and scattered throughout your codebase. FastAPI Shield introduces an elegant solution: a decorator-based security library that uses the metaphor of “shields” to protect your endpoints with clean, composable layers of security.
Hierarchical data structures are everywhere in modern applications, from e-commerce categories to knowledge bases. This comprehensive guide demonstrates how SQL’s recursive Common Table Expressions (CTEs) elegantly solve the challenges of nested taxonomies without complex application code. Learn how to build a complete tag hierarchy system, navigate parent-child relationships efficiently,…
An exploration of opaque types in TypeScript and a refined implementation that provides stronger guarantees for handling sensitive information.
A deep dive into extending Nox’s capabilities with custom decorators and classes, turning it into a comprehensive automation solution that can replace Makefiles and shell scripts.
A deep dive into using Rust’s const evaluation features to validate hex strings at compile time, ensuring both correctness and zero runtime overhead.
A deep dive into systematically decorating all methods of a Python class, exploring challenges and solutions using the Descriptor protocol.
I’ve been on quite the adventure lately. The transition from memory-safe languages to C++ is like going from driving an automatic car with all the safety features to suddenly piloting a manual sports car with no guardrails – exhilarating but terrifying. My recent fascination with metaprogramming began after I wrote about Rust’s procedural macros. There’s something magical about…
Exploring non-affine types in Rust and its involvement in writing a crate for secrets management.
Mojo’s ability to interface directly with the Multi-Level Intermediate Representation opens up a whole new programming paradigm with custom bitwidth integers.
Rust-implemented custom python datatype that is also pydantic-compatible.