Living in a state of accord.

From Java to Swift

Ever since the public beta of OS X I’ve been meaning to get around to learning Objective-C but for one reason or another never found a real reason to. I’ve picked up bits and pieces of it and even written a couple of working utilities but those were pretty much entirely copy/paste from various sources. Essentially they were small enough and short-lived enough that I only needed the barest grasp of Objective-C syntax and no understanding of the core philosophies and idioms that really make a language what it is. This is probably best exemplified by the approach to memory management those utilities took: it won’t run for long, so just let it leak.

I do however have a ton of experience in Java and JavaScript plus knowledge and experience in a bunch of other languages to a wide range of extents. In other words, I’m not a complete moron, I’m just a complete moron with Objective-C.

Anyway, obviously when Swift was announced it was complete justification for my ignoring Objective-C all these years and interesting enough for me to actually get around to learning it.

So I’ve been building a very small little utility in swift so I can pull out information from OS X’s system calendar from the command line and push it around to various places that I happen to want it and can’t otherwise get it. The code is up on GitHub if you’re interested – code reviews and patches most welcome. It’s been a great little project to get used to Swift the language without spending too much time trying to learn all the OS X APIs.

Language Features

Swift has some really nice language features that make dealing with common scenarios simple and clear. Unlike many languages it doesn’t seem to go too far with that though – it doesn’t seem likely that people will abuse its features and create overly complex or overly succinct code.

My favourite feature is the built-in optional support. A variable of type String is guaranteed to not be null, a variable of type String? might be. You can’t call any methods from String on a String? variable directly you have to unwrap it first – confirming it isn’t null. That would be painful if it weren’t for the ‘if let’ construct:

let events: String? = ""
let events = events { events.utf16count()

I’ve dropped into a habit here which might be a bit overly clever – naming the unwrapped variable the same as the wrapped one. The main reason for this is that I can never think of a better name. I figure it’s much like have a if events != nil check.


Calling Swift a new language is correct but it would almost be more accurate to call it a new syntax instead. Swift does have its own core API which is unique to it, but that’s very limited. For the most part you’re actually dealing with the OS X (or iOS) APIs which are shared with Objective-C. Thus, people with experience developing in Objective-C quite obviously have a huge head start with Swift.

The other impact of sharing so many APIs with Objective-C is that some of the benefits of Swift get lost – especially around strict type checking and null reference safety. For example retrieving a list of calendar events is done via the EventKit method:

func eventsMatchingPredicate(predicate: NSPredicate!) -> [AnyObject]!

which is helpfully displayed inside Xcode using Swift syntax despite it being a pre-existing Objective-C API and almost certainly still implemented in Objective-C. However if you look at the return type you see the downside of inheriting the Objective-C APIs: the method documentation says it returns [EKEvent] but the actual declaration is [AnyObject]!  So we’ve lost both type safety and null reference safety because Objective-C doesn’t have non-nullable references or generic arrays. It’s not a massive loss because those APIs are well tested and quite stable so we’re extremely unlikely to be surprised by a null reference or unexpected type in the array, but it does require some casting in our code and requires humans to read documentation and check if something can be null rather than having the compiler do it for us.

If Swift were intended to be a language that competes with Java, python or ruby the legacy of the Objective-C APIs would be a real problem. However, Swift is designed specifically to work with those APIs, to be a relatively small but powerful step of OS X and iOS developers. In that context the legacy APIs are really just a small bump in the road that will smooth out over time.


The other really big thing a Java developer notices switching to Swift is what a Java developer notices when switching to any other language – the tools suck. In particular, the Java IDEs are superb these days and make writing, navigating and refactoring code so much easier. Xcode doesn’t even come close. The available refactorings are quite primitive even for C and Objective-C and they aren’t supported at all for Swift.

The various project settings and preferences in Xcode are also a complete mystery – and judging from the various questions and explanations on the internet it doesn’t seem to be all that much clearer even to people with lots of experience. In reality I doubt its really much different to Java which also has a ridiculous amount of complexity in IDE settings. The big difference is that in the Java world you (hopefully) start out by learning the basics using the standard command line tools directly. Doing so gives you a good understanding of the build and runtime setup and makes it much clearer what is controlling how your software is built and what is just setting up IDE preferences. Xcode does provide a full suite of command line developer tools so hopefully I can learn more about them and get that basic understanding.

Finally, Xcode 6 beta 3 is horribly buggy. It’s a beta so I can forgive that but I’m surprised at just how bad it is even for a beta.

Cocoa Pods

This was a delight to stumble across.  Adding a dependency to a project was a daunting prospect in Xcode (jar files are surprisingly brilliant). I really don’t know what it did but it worked and I’m grateful. Libraries that aren’t available as pods are pretty much dead to me now. There does seem to be a pretty impressive array of libraries available for a wide range of tasks. Currently all of them are Objective-C libraries so you have to be able to understand Objective-C headers and examples and convert them to Swift but it’s not terribly difficult (and trivial for anyone with an Objective-C background).


Swift has a good feel about it – lots of neat features that keep code succinct. Also it’s very hard not to like strict type checking with good type inference. With Apple pushing Swift as a replacement for Objective-C over time the libraries and APIs will become more and more “Swift-like”. Xcode should improve to at least offer the basic refactorings it has for other languages and stabilise which will make it a workable IDE – exceeding the capabilities of what’s available for a lot of languages.


Most importantly, the vast majority of existing Objective-C developers seem to quite like it – plenty of issues raised as well, but overall generally positive.

I think the future for Swift looks bright.


Apple have released Swift, their new programming language – designed to be familiar to Objective-C programmers and work well with the existing Cocoa frameworks. It’s far too soon to make substantial judgements about the language – that can only come after actually using it in real projects for some time. However, there’s nothing that stands out as incredibly broken, so with Apple’s backing it’s extremely unlikely that it won’t become a very commonly used language. After all, there’s plenty wrong with every other programming language and we manage to make do with them.

What I find most promising about it though is that many language design choices are justified by them preventing common causes of bugs in Objective-C or C (and many other languages).  For example:

“The cases of a switch statement do not “fall through” to the next case in Swift, avoiding common C errors caused by missing break statements.”

Excerpt From: Apple Inc. “The Swift Programming Language.” iBooks

They’ve replaced many common checkstyle/lint errors with better language design that the mistakes impossible (what a good idea). It could be argued that they could have taken more extreme approaches to find solutions or prevented more sources of errors with additional cleverness but my initial take is that it has likely found a good balance between fixing common causes of bugs while still being familiar to Objective-C coders (it’s target audience) and working well with the existing frameworks and libraries.

We’ll likely find plenty to complain about, as always, but overall I suspect it will be a very nice language to work with.

Static and Dynamic Languages

I do a lot of coding in Java and JavaScript and it’s never bothered me that one has static types and one dynamic (and I’ve used plenty of other languages from both camps as well – it amuses me slightly that the two I use most often tend to be viewed as the worst examples of each type). I can see pros and cons of both approaches – static typing detects a bunch of common errors sooner which saves time but there are inevitably times where you wind up just fighting the type system which wastes time again. Better statically typed languages waste less of your time but at some point they all cause pain that’s avoided with dynamic languages. It winds up coming down largely to personal preference and is a little affected by what you’re building.

What I have learnt however is that using static and dynamic languages too closely is a recipe for pain and frustration. LMAX develops the main exchange in Java and recently started using Spock for unit tests. Spock is amazing in many, many ways but it comes with the Groovy programming language which is dynamically typed. There isn’t, or perhaps shouldn’t be, any tighter coupling than a class and its unit test so the combination of static and dynamic typing in this case is extremely frustrating.

It turns out that the way I work with languages differs depending on the type system – or rather on the tools available but they are largely affected by the type system. In Java I rename methods without a second thought, safe in the knowledge that the IDE will find all references and rename them. Similarly I can add a parameter to an API and then let the compiler find all the places I need to update. Once there are unit tests in Groovy however neither of those options is completely safe (and using the compiler to find errors is a complete non-starter).

When writing JavaScript I’m not under any illusion that the IDE will find every possible reference for me so I approach the problem differently. I explore using searches rather than compiler errors and turn to running tests to identify problems more quickly because the compiler isn’t there to help. I also tend to write tests different, expecting that they will need to cover things that the compiler would otherwise have picked up. The system design also changes subtly to make this all work better.

With static and dynamic typing too closely mixed, the expectations and approaches to development become muddled and it winds up being a worst-of-both-worlds approach. I can’t count on the compiler helping me out anymore but I still have to spend time making it happy.

That doesn’t mean that static and dynamic languages can’t co-exist on the same project successfully, just that they need a clearly defined, and relatively stable, interface between them. The most common example being static typing on the server and JavaScript in the browser, in which case the API acts as a buffer between the two. It could just as easily be server to server communication or a defined module API between the two though and still work.

Automated Tests Are a Code Smell

Writing automated tests to prove software works correctly is now well established and relying solely or even primarily on manual testing is considered a “very bad sign”. A comprehensive automated test suite gives us a great deal of confidence that if we break something we’ll find out before it hits production.

Despite that, automated tests shouldn’t be our first line of defence against things going wrong. Sure they’re powerful, but all they can do is point out that something is broken, they can’t do anything to prevent it being broken in the first place.

So when we write tests, we should be asking ourselves, can I prevent this problem from happening in the first place? Is there a different design which makes it impossible for this problem to happen?

For example, checkstyle has support for import control, allowing you to write assertions about what different packages can depend on. So package A can use package B but package C can’t. If you’re concerned about package structure it makes a fair bit of sense. Except that it’s a form of testing and the feedback comes late in the cycle. Much better would be to split the code into separate source trees so that the restrictions are made explicit to the compiler and IDE. That way autocomplete won’t offer suggestions from forbidden packages and the code won’t compile if you use them. It is therefore much harder to do the wrong thing and feedback comes much sooner.

Each time we write an automated test, we’re admitting that there is a reasonable likelihood that someone could mistakenly break it. In the majority of cases an automated test is the best we can do, but we should be on the look out for opportunities replace automated tests with algorithms, designs or tools that eliminate those mistakes in the first place or at least identify them earlier.


Finding Balance with the SOLID Principles

Kevlin Henney’s talk from YOW is a great deconstruction of the SOLID principles, delving into what they really say as opposed to what people think they say, and what we can learn from them in a nuanced, balanced way.

Far too often we take these rules as absolutes under the mistaken assumption that if we always follow them, our software will be more maintainable. As an industry we seem to be seeking a silver bullet for architecture that solves all our problems just like we’ve searched for a silver bullet language for so long. There is value in these principles and we should take the time to learn from them, but they are just tools in our toolkit that we need to learn not only how to use, but when.