Understanding Swift Collection Types and Their Performance Characteristics Swift gives you three main collection types: Array, Set, and Dictionary. They look simple on the surface, but each one has a distinct performance profile that can make or break your app’s responsiveness. I’ve seen codebases where swapping an array for a set cut a hot-path operation
Most Swift SDKs work fine in a vacuum. The problem is, developers don’t live in a vacuum—they live in Xcode, knee-deep in a project that already has its own quirks, deadlines, and legacy code. A library that looks elegant on a GitHub page can feel like a brick wall the moment someone tries to pull
Most Swift SDKs stumble before they ever ship. The failure happens in the first five minutes of integration, when a developer opens the docs, tries to initialize a core object, and runs into a wall of compile errors or confusing abstractions. Yuki Tanaka has spent years building internal frameworks and public libraries for iOS teams,
Most Swift SDKs fail for reasons that have nothing to do with missing features. They fail because they feel foreign—like they were written for a different language, a different platform, or a developer who doesn’t exist. Yuki Tanaka has spent years building internal frameworks and public libraries for iOS teams, and the pattern is always
Shipping a Swift SDK isn’t just about dumping a bunch of public methods into a package and calling it a day. It’s about handing another developer something that feels like it belongs in their project—something predictable, safe, and almost invisible. When they drop your code into Xcode, they shouldn’t have to wrestle with the API,
Every Swift developer has stumbled across an SDK that promised simplicity but delivered a headache. Instead of clean integration, you get cryptic method names, missing docs, and threading surprises that crash your app. I’ve been on both sides of this—building SDKs for large-scale iOS apps and pulling my hair out over poorly designed ones. Here’s
Most Swift concurrency tutorials stop at fetching JSON from a server. You get a single async function, a try await call, and maybe a Task if the author is feeling generous. That is not the world you build in. Production systems are pipelines—long-running, stateful, multi-stage processes where data flows from one stage to the next,
Shipping a Swift SDK is easy. Shipping one that other developers willingly pull into their projects, integrate without friction, and recommend to colleagues—that takes a different kind of thinking. After building internal frameworks for three companies and maintaining two open-source Swift packages, I’ve seen the same mistakes repeat. The good news: most of them are
Shipping a Swift SDK isn’t just about wrapping an API. It’s a handshake with another developer—a promise that your code won’t fight theirs, that the abstractions hold, and that the integration cost stays low. I’ve built enough internal and public packages to know the pattern: devs walk away the moment an SDK surprises them. Here’s
Shipping a Swift SDK isn’t just about delivering code. You’re handing another developer a tool they’ll depend on, debug against, and quietly judge every time they open your docs. A good SDK feels like it was always part of the platform. A bad one feels like a fight you didn’t sign up for. After years
