Every iOS app I've shipped over the last nine years started the same way: a Rails developer with a great web app, users who want it in the App Store, and weeks spent on Xcode, signing certificates, and Swift boilerplate that has nothing to do with the actual product.
By working through this quiz, you'll revisit the descriptor protocol, how .__get__() and .__set__() control attribute access, and how to implement read only descriptors. You'll also explore data vs. non-data descriptors, attribute lookup order, and the .__set_name__() method.
A directory without an __init__.py file becomes a namespace package, which behaves differently from a regular package and may cause slower imports. You can use __init__.py to explicitly define a package's public API by importing specific modules or functions into the package namespace.
Ever since writing about them, the generator in JavaScript has become my favorite hammer. I'll wield it nearly any chance I can get it. Usually, that looks like rolling through a finite batch of items over time. For example, doing something with a bunch of leap years: ...or lazily processing some files: In both examples, the pool of items is exhausted once and never replenished. The for loop stops, and the final item returned by the iterator contains done: true. C'est fini.
If there's one universal experience with AI-powered code development tools, it's how they feel like magic until they don't. One moment, you're watching an AI agent slurp up your codebase and deliver a remarkably sharp analysis of its architecture and design choices. And the next, it's spamming the console with "CoreCoreCoreCore" until the scroll-back buffer fills up and you've run out of tokens.
The core idea is three separate attribute layers: inputs (what comes in), internals (working state), and outputs (what goes out). Each is a distinct declaration with its own namespace and type checking. Combined with declarative make calls that define action order, the data flow through a service is visible at a glance: class Payments::Process < ApplicationService::Base input :payment, type: Payment internal :charge_result, type: Servactory::Result output :payment, type: Payment make :validate_status! make :perform_request! make :handle_response! make :assign_payment
Which Algorithm Is This? If you step back, this maps almost perfectly to the Top K Frequent Elements problem.We usually solve it for integers in a list. Here, the "elements" are audience profiles age and body-type combinations. First, define what an audience profile looks like: case class Profile(age: Int, height: Int, weight: Int) What we want is a function like this:
Software development used to be simpler, with fewer choices about which platforms and languages to learn. You were either a Java, .NET, or LAMP developer. You focused on AWS, Azure, or Google Cloud. Full-stack developers learned the intricacies of selected JavaScript frameworks, relational databases, and CI/CD tools. In the best of times, developers advanced their technology skills with their employer's funding and time to experiment. They attended conferences, took courses, and learned the low-code development platforms their employers invested in.
One of my oldest open-source projects - Bob - has celebrated 15 a couple of months ago. Bob is a suite of implementations of the Scheme programming language in Python, including an interpreter, a compiler and a VM. Back then I was doing some hacking on CPython internals and was very curious about how CPython-like bytecode VMs work; Bob was an experiment to find out, by implementing one from scratch for R5RS Scheme.
On December 19, 2025, Cursor acquired Graphite for more than $290 million. CEO Michael Truell framed the move simply: code review is taking up a growing share of developer time as the time spent writing code keeps shrinking. The message is clear. AI coding tools have largely solved the generation speed. Now the industry is betting that review is the next constraint to break.