Advanced topics in Ruby FFI

Short primer: what is FFI?

This article is not a tutorial on the basics of FFI. However, if you’ve never heard of FFI before, I’d like to wet your appetite before continuing on.

FFI is an alternative to writing C to use functionality locked within native libraries from Ruby. It allows you to explain, with an intuitive Ruby DSL, which functions your native library contain, and how they should be used. Once the functionality of your native library is mapped out, you can call the functions directly from Ruby.

Furthermore, gems using ffi do not need to be compiled, and will run without modifications on CRuby, JRuby and Rubinius! In practice there could be small differences between the platforms in the behaviour and usage of FFI, and if you find any you should report them to the Ruby FFI issue tracker so it can be dealt with.

As far as basic tutorials on using FFI, your best resource is the FFI wiki. It also has a list of projects using FFI, which is your second best resource on learning how to use FFI.

Aliasing with typedef

If we look at the header for a function from libspotify:

SP_LIBEXPORT(sp_error) sp_session_player_prefetch(sp_session *session, sp_track *track);

Naively mapping this to FFI we’ll need:

enum :error, [ … ]
attach_function :sp_session_player_prefetch, [ :pointer, :pointer ], :error

Unfortunately, we lost two pieces of valuable information here. Both sp_session and sp_track are types that occur many times in the library. When we look at the ruby implementation, there is no hint whatsoever of what type the two pointers should be of.

It does not need to be like this. Using typedef we can name our parameters, and bring back the information that we lost in our translation.

typedef :pointer, :session
typedef :pointer, :track
enum :error, [ … ]
attach_function :sp_session_player_prefetch, [ :session, :track ], :error

Functionality of our method does not change, but implementation is now slightly more clear and maintainable.

Specializing in attach_function

C libraries do not follow Ruby naming conventions, which makes sense since they’re not written in Ruby. However, bindings written with Ruby FFI are in Ruby and will be called from Ruby, so they should have the look and feel of Ruby.

Attach function allow you to call it in two ways:

attach_function :c_name, [ :params ], :returns, { :options => values } # 1
attach_function :ruby_name, :c_name, [ :params ], :returns, { :options => values } # 2

Using the first form will create your Ruby methods with the same name as your native library’s functions. Using the second form allows you to rename the bound method, giving it a more expected final name.

Native libraries you bind with FFI will have naming conventions of their own. For example, OpenAL will prefix it’s functions with al or alc, and camel case. libspotify will prefix it’s functions with sp_. Apart from removing the suffix, and snake_casing the function name, we want the Ruby method to be named similarly. We could repeat ourselves for every method:

attach_function :open_device, :alcOpenDevice, [ :string ], :device
attach_function :close_device, :alcCloseDevice, [ :device ], :bool

But remember! When you use FFI, you extend the FFI::Library inside a module of your own. This also means you can override the attach_function call, without your specialized version leaking to the outside world. By overriding attach_function we can avoid unnecessary noise in our FFI bindings.

def self.attach_function(c_name, args, returns)
    ruby_name = c_name.to_s.sub(/\Aalc?/, "").gsub(/(?\<\!\A)\p{Lu}/u, '_\0').downcase
    super(ruby_name, c_name, args, returns)

attach_function :alcOpenDevice, [ :string ], :device # gets bound to open_device
attach_function :alcCloseDevice, [ :device ], :bool # gets bound to close_device

This does not end here. After calling super inside attach_function you have the option of further specializing the newly bound method. You could implement automatic error checking for every API call, or alter the parameters based on native library conventions, and more. Just remember that the added complexity should be worth the savings.

FFI::Structs as parameters

Structs in FFI can be used as parameters, and is by default equivalent to specifying a type of :pointer.

class SomeStruct < FFI::Struct

attach_function :some_function, [ SomeStruct ], :void
# equivalent to:
attach_function :some_function, [ :pointer ], :void

callback :some_callback, [ SomeStruct ], :void
# equivalent to:
callback :some_callback, [ :pointer ], :void

I’d like to bring forth an alternative for your referenced struct parameters, namely FFI::Struct.by_ref. It behaves very similarly to the above, with the important difference in that it type-safety built-in!

attach_function :some_function, [ SomeStruct ], :void
some_function # this is possibly unsafe, but allowed

attach_function :some_function, [ SomeStruct.by_ref ], :void
some_function # BOOM, wrong argument type FFI::Pointer (expected SomeStruct) (TypeError)
some_function # BOOM, wrong argument type SomeOtherStruct (expected SomeStruct) (TypeError)

Further more, if you use FFI::Struct.by_ref for your callback parameters or function return values, FFI will automatically cast the pointer to an instance of your struct for you!

callback :some_callback, [ SomeStruct.by_ref ], :void
attach_function :some_function, [ :some_callback ], :void

returned_struct = some_function(proc do |struct|
  # struct is an instance of SomeStruct, instead of an FFI::Pointer

attach_function :some_other_function, [ ], SomeStruct.by_ref
some_other_function.is_a?(SomeStruct) # true, instead of being an FFI::Pointer

Keep in mind, that on JRuby 1.7.3, FFI::Struct.by_ref type accepts any descendant of FFI::Struct, and not only instances of YourStruct. See for updates.

Piggy-back on Ruby’s garbage collection with regular FFI::Structs

If we take a look again at the above code with SomeStruct as return value.

attach_function :some_other_function, [ ], SomeStruct.by_ref

In some libraries, the memory for the pointer to SomeStruct returned from some_other_function is expected to be managed by us. This means we’ll most likely need to call some function free_some_struct to specifically free the memory used by SomeStruct when the object is no longer needed. Here’s how it would be used:

  some_struct = some_other_function
  # do something with some_struct

Unfortunately, if we pass some_struct somewhere else beyond our control, we must be able to trust that the new guardian of some_struct calls free_some_struct in the future, or we will have a memory leak! Oh no!

Fear not, for FFI::Struct has a trick up it’s sleeve for us. Have a look at this.

class SomeStruct < FFI::Struct
  def self.release(pointer)
    MyFFIBinding.free_some_struct(pointer) unless pointer.null?

attach_function :some_other_function, [], SomeStruct.auto_ptr

With the above binding code, some_other_function still returns an instance of SomeStruct. However, when our object is garbage collected FFI will call upon SomeStruct.release to free the native memory used by our struct. We can safely pass our instance of SomeStruct around everywhere and to everyone, and safely remember that when the object goes out of scope and Ruby garbage collects it, FFI will call upon us to free the underlying memory!

Related to this, you should look into FFI::ManagedStruct and FFI::AutoPointer if you have not already.

Writing our own data types

class Device < FFI::Pointer
attach_function :some_function, [ ], Device

Subclassing FFI::Pointers is a convenient way of working with pointers from native libraries less generic. Using the above code, when we call some_function we’ll receive an instance of Device, instead of the FFI::Pointer we would get if we specified the return value as a :pointer.

If objects in our native library are not pointers we can’t do what we’ve done above. For example, in OpenAL there’s a concept of audio sources, but they are represented by an integer, and not a pointer. Passing arbitrary integers around is not a nice practice, so what you could do is wrap the source in an object for further use.

class Source
  def initialize(id)
    @id = id
  attr_reader :id

typedef :int, :source
attach_function :create_source, [], :source
attach_function :destroy_source, [ :source ], :void

# Usage
source =

While the code above is not bad, we could do much better by utilizing something in FFI called DataConverters. DataConverters are a way of writing code that tells FFI how to convert a native value to a ruby value and back. By doing this, we could have FFI automatically wrap source above in an object, making it completely transparent to the developer using the library.

class Source
  extend FFI::DataConverter
  native_type FFI::Type::INT

  class << self
    # `value` is a ruby object that we want to convert to a native object
    # this method should return a type of the native_type we specified above
    def to_native(value, context)
      if value # in our case, we convert a Source to an int
        -1 # if value is nil, we represent a `no source` value as -1

    # `value` is a type of the native_type specified above, we should return
    # a ruby object we wish to pass around in our application
    def from_native(value, context)

    # this is needed when FFI needs to figure out the native size of your native type
    # for example, if you want to generate a pointer to hold something of this type
    # e.g. # <= requires size to be defined and correct
    def size

    # this method is a hint to FFI that the object returned from to_native needs to
    # be kept alive for the native value in the object to remain valid, so that if we
    # return an object that automatically frees itself on garbage collection, ffi will
    # prevent it from being garbage collected while it’s still needed, mainly useful
    # for to_native methods that allocate memory
    def reference_required?

  def initialize(id)
    @id = id

  attr_reader :id

attach_function :create_source, [], Source
attach_function :destroy_source, [ Source ], :void

source = create_source # an instance of Source, created through Source.from_native! # => the native value
destroy_source(source) # converts source to native value through Source.to_native!

You could do this to all types, even pointers. Even more, you are not constrained to only doing type conversion in to_native and from_native — you could perform validation, making sure your values have the correct type, length, or what ever you may need!

If you’d like some more example of custom types, I’ve written down a few in this gist:

Implementing type safety

Do you remember what I mentioned earlier about FFI::Struct.by_ref automatically giving us some kind of type safety, preventing us from shenanigans where somebody sends invalid values to native functions? We can implement the very same kind of type safety ourselves for all types, by overriding to_native in our DataConverters.

# A to_native DataConverter method that raises an error if the value is not of the same type.
module TypeSafety
  def to_native(value, ctx)
    if value.kind_of?(self)
      raise TypeError, "expected a kind of #{name}, was #{value.class}"

We could now mix the above module into our own custom data types from the previous chapters.

# Even if we have another object that happens to look like a Source from our previous chapter,
# by having a #value method, we now won’t allow sending it down to C unless it’s an instance of
# Source or any of it’s subclasses.

# Remember Device from earlier? It’s a descendant of FFI::Pointer. Now all parameters of type Device
# will only accept instances of Device or any of it’s subclasses. All else results in a type error.

Duck-typing is very useful in Ruby, where raising an exception is the worst thing that can happen when we try to call a method on an object that does not respond to such a method. However, when interfacing with C libraries, passing in the wrong type will segfault your application with little information on what went wrong. Using this TypeSafety module, we can catch errors early, with a useful error message as a result.

Final words

Personally I really like using FFI. It’s a low-pain way of writing gems that use native libraries, and if you set your types up properly, not having a compiler that type-checks your code won’t be so bad. If you can work with native libraries through the means of FFI instead of writing a C extension, by all means do. Even if you intend on writing a C extension, using FFI can be a quick way of exploring a native API without wiring up C functions and data structures together with the Ruby C API.

Something that FFI excells at, in comparison to writing a C extension, is handling asynchronous callbacks from non-ruby threads in C. FFI can save you a lot of headache in that area.

Thank you.



Introducing Capybara 2.1

With the release of Capybara 2.0, we made a few changes to how Capybara acts in certain situations, which were designed to reduce unexpected and unintuitive behaviour. We got a lot of feedback that the new behaviour was too restrictive and that upgrading existing test suites from Capybara 1.x was too difficult.

Our goal with Capybara 2.1 has been to correct these problem. To provide more forgiving defaults, and more configurability for those who need it. To provide a smoother upgrade path for those on Capybara 1.x who failed to upgrade their apps due to too many breaking changes.

We focused on these key problems:

  • Matching exactly or allowing substrings
  • Behaviour when multiple elements match a query
  • Visibility
  • Asserting against the page title
  • Finding disabled elements

Aside from this, Capybara 2.1 contains many tweaks and new features.

Since we're following semver, we promise to maintain backward compatibility in all minor releases. Capybara 2.1 makes a compromise in maintaining backwards compatibilit but changing a few defaults. In order to have Capybara 2.1.0 behave identically to 2.0.x, set these options:

Capybara.configure do |config|
  config.match = :one
  config.exact_options = true
  config.ignore_hidden_elements = true
  config.visible_text_only = true

We have also enabled a smoother upgrade path for Capybara 1.x users. There are still changes which break compatibility between 1.x and 2.x, even with this configuration enabled, but most of them should be fairly easy to deal with. Try this:

Capybara.configure do |config|
  config.match = :prefer_exact
  config.ignore_hidden_elements = false

Matching exactly or allowing substrings

Capybara has always been very lenient about what it matches. Sometimes that's not what you want. To that end find, as well as all action methods like click_link and fill_in now accept an option called :exact which works together with the is expression inside the XPath gem. Without going too much into the internals, it allows you to specify whether for example click_link will allow you to specify a substring, or will need to match the entire link text exactly.

We have also added a global config option, Capybara.exact, which controls the default value of this property. Just as in Capybara 2.0.x however, this option defaults to false. That is, by default, matches are not exact, and substrings are allowed.

Behaviour when multiple elements match a query

When using metods such as click_link, and fill_in, what happens when more than one element matches? Under Capybara 1.0, we tried to find an element that matched exactly, and failing that, or if there were multiple such elements, we would simply return the first one and move on.

This has the obvious problem that sometimes, the element you end up interacting with isn't the one you expected at all.

We tried to solve this problem in Capybara 2.0 by being stricter and raising an exception in such a case instead. This was the biggest change in terms of compatibility between 1.x and 2.0 and has been very frustrating for many users.

In Capybara 2.1 we are making this behaviour configurable, and allowing users to pick which strategy they prefer, including reverting to the 1.x behaviour. We also changed the default behaviour to a slightly more lenient strategy.

We've added the match option, which takes four possible arguments: :one, :first, :prefer_exact, and :smart. Let's go through what they do:

:one is the current behaviour in Capybara 2.0.x. When two elements are found which both match the selector, a Capybara::Ambiguous error is raised.

:first is a looser behaviour which, when confronted with two elements which match the selector, simply grabs the first one and uses that one.

:prefer_exact is the behaviour present in Capybara 1.x. If multiple matches are found, some of which are exact, and some of which are not, then the first eaxctly matching element is returned.

:smart is the new default. The behaviour of :smart depends on the value of :exact. If :exact is true, the behaviour is identical to :one, that is, Capybara will perform a search for an exactly matching element, and if there is more than one, it will raise an error.

If :exact is false, things get more interesting. In that case, Capybara will first perform a search for elements which match the selector exactly, if there is exactly one, that element is returned. If there is more than one, a Capybara::Ambiguous error is raised. If no element matches, a new search is performed, allowing inexact matches. Again, if more than one element matches that search, Capybara::Ambiguous is raised.

This solves the much discussed Password confirmation problem, if there is a field with the exact label Password and another with Password Confirmation, and someone does this:

fill_in "Password", :with => "Capybara"

Then Capybara will pick the Password field and fill that in. If, however, the label of the password field would have been Password * (to indicate that it is required). Then an ambiguous error would have been raised, since both Password * and Password Confirmation are inexact matches for Password.

The idea is to strike a compromise between strictness and user friendliness. Those that prefer strictness can set:

Capybara.exact = true

Exactness of options

With Capybara 2.0 we changed the behaviour so that in the following case…

select "1", :from => "Number of people"

The option needed to match "1" exactly. So that if "10" was an option, it would be possible to differentiate between them. Options now use the same smart matching by default, as outlined above. To revert to the old behaviour of always requiring an exact match, the config options exact_options can be set to true.


We have had an option which makes Capybara ignore all hidden elements for a long time: Capybara.ignore_hidden_elements. This option has always been false by default. This has confused people for a long time, on occasion even myself. We've made no further change to this behaviour other than the fact that this option now defaults to true. To revert to the old behaviour, simply set:

Capybara.ignore_hidden_elements = false

Visibility of text

In Capybara 1.x, the behaviour of text in the presence of invisible (display: none), DOM elements was undefined. While RackTest offers some rudimentary support for visibility, it was ignored for text, and even text in, for example, script tags was returned. Selenium ignored hidden text and other drivers did what they wanted.

In Capybara 2.0.x, we specified that text should only return text visible to the user, never hidden text, even for RackTest.

In Capybara 2.1.0, the visibility of text depends on ignore_hidden_elements. Setting ignore_hidden_elements to false means that even invisible text is returned.

We also make it possible to retrieve override this default by passing :all or :visible to the text method:

find("#thing").text           # depends on Capybara.ignore_hidden_elements
find("#thing").text(:all)     # all text
find("#thing").text(:visible) # only visible text

Since that is a departure from the Capybara 2.0.x API, we offer a special option for backward compatibility, which will make text always return only the text which is visible, even if ignore_hidden_elements is false.

Capybara.visible_text_only = true

Asserting against the page title

A lot of people migrating to Capybara 2.0 had problems with code like this:

page.should have_css("title", :text => "Whatever")

They found that title has no text, and thus this never matches

This is not however, a bug in Capybara. The above code is wrong, and should not work. To understand why, it's important to realize that the page title is quite distinct from the title element. The title element is invisible by default, and thus has no text which is visible to the user. Asking for its text very correctly returns nothing.

Don't believe me? Try pasting the following CSS into any web page:

head, head title { display: block }

You can now see the title element on the page. And making it visible this way will make the Selenium driver return the text inside that element, just as it should.

Instead of fixing Capybara to work with broken code, we are introducing a new API, which provides a nicer way of querying the page title:

page.title # => "The title"
page.has_title?("The title") # => true
page.should have_title("The title")

The has_title? and have_title matchers both have the same waiting behaviour as all other matchers in Capybara.

Finding disabled elements

Since Capybara 2.0, methods which interact with form fields and buttons, such as fill_in and click_button, do not allow interaction with disabled form elements and buttons. In addition, the matcher has_field? and the finder method find_field no longer match on disabled fields. It is still possible to locate disabled fields and buttons through other means, such as via find or has_selector?.

Capybara 2.1 makes it possible to override this behaviour by passing :disabled => true to any of these methods, which will find only disabled elements.


There are more new features in Capybara 2.1 which did not fit in this blog post. Please refer to the History file for a complete list.


Handle secret credentials in Ruby On Rails

This blog post aims to lay out a simple and concrete strategy for handling sensitive data in your Ruby On Rails applications, and to explain the importance of such a strategy.

Never, ever check them into source control

Even if your project is closed source and your trusted colleagues are the only ones with access, you never know when a freelancer or consultant might be joining the project. Even if that never occurs, how do you keep track of all the locations where that repository is checked out? Who knows on how many hard drives your company's credit card transaction secret API key might be stored. What happens when someone with a weak login password forgets their laptop on the bus or at the airport?

Also note that it's not always as simple as removing secrets after the fact, especially with version control. It's usually impossible to do this without drastically changing your entire project's history!

Do it right

For a long time, we've been using YAML files to store our application configuration. It's easy to manage and can be configured for different Rails environments. These YAML files could look like the following:


development: &defaults
  awesomeness_score: 3
  host: "localhost:3000"
  s3_bucket: "example-development-us"

  <<: *defaults
  host: ""
  s3_bucket: "example-production-us"

  <<: *defaults


  development: &defaults
  aws_access_key_id: ""
  aws_secret_access_key_id: ""

  <<: *defaults

  <<: *defaults


development: &defaults
  aws_access_key_id: "ACTUAL-ID-WOULD-GO-HERE"
  aws_secret_access_key_id: "ACTUAL-SECRET-WOULD-GO-HERE"

  <<: *defaults

  <<: *defaults

Only the first two files would be checked in to source control, and the application's README would instruct developers to cp config/app_secret.yml.example config/app_secret.yml and fill in the gaps from the company keychain.

To make sure we never check in the secrets by mistake, we ignore the app_secret.yml file:


# ...

We then use the econfig gem written by Jonas Nicklas to easily merge them together:


# ...
gem "econfig", require: "econfig/rails"


# ...
module YourApp
  extend Econfig::Shortcut
  # ...

Now we can access any configuration variable and secret credential: # => "localhost:3000"
YourApp.aws_secret_access_key_id # => "ACTUAL-SECRET-WOULD-GO-HERE"


When you deploy the application, you must manually manage the secrets on the server(s).


If you deploy with Capistrano, you'll want to place the app_secret.yml in your /shared folder. Once that's done, it can be copied to each release with symlink task:


# ...
namespace :config do
  desc "Symlink application config files."
  task :symlink do
    run "ln -s {#{shared_path},#{release_path}}/config/app_secret.yml"  

after "deploy", "config:symlink"


If you're deploying your application where you don't have file access, such as Heroku, you're better off storing this kind of information in ENV. The econfig gem has built in support for this and a few other storage backends, but that's another blog post.


With this method, we now have a clear separation of sensitive and non-sensitive data. There's no risk of checking in any sensitive data, since we have only one place to put it all and it's hidden from source control. Data access within the application hasn't changed, and we no longer have to concern ourselves with how sensitive it is.

We can now be sure that giving access to a repository does not imply giving access to other systems.


If you have any feedback on how the blog post can be improved, or if you spot any errors, please let me know by posting a comment below!


A Capybara future

UPDATE: Some of these proposed changes have made it into Capybara 2.1. Please read our introduction to Capybara 2.1.

Over the last month or so, I've spent a lot of time thinking about the current state of Capybara.

As you may know, we released version 2.0 a while ago, which brought a number of significant changes. The biggest change, and for many the most aggravating change, was that matches now needed to be unambiguous. That is that if we try to do click_link("Remove") and there are multiple remove links on the page, we would throw an exception. I believe that this was a very good change. I have over the last years spent a lot of time tracking down issues where Capybara was simply interacting with the wrong element on the page.

The mistake we made however was that we still allowed substring matches, so that fill_in("Password", :with => "capybara"), not only matched "Password" but also "Password confirmation". This leaves us with a situation where we have to bend over backwards to avoid the ambiguity error. Clearly we should have gone all the way and disallowed substring matches.

Furthermore we should have provided a sane default, strictness, and allowed that default to be changed in specific cases, through options. For example we could have allowed:

click_link("Remove") # very strict
click_link("Remove", :exact => false) # allow substrings
click_link("Remove", :ambiguous => true) # pick any Remove link at random
click_link("Remove", :ambiguous => true, :exact => false) # 1.x behaviour

But even if we had made in hindsight those smarter choices, that still leaves us with an inherent ambiguity in what the arguments to action methods, like click_link actually do. This is what the current documentation says about fill_in:

Locate a text field or text area and fill it in with the given text. The field can be found via its name, id or label text.

This is actually not the whole truth. Fields can also be found via their placeholder, which isn't documented. When found via name, id or placeholder the match needs to be exact, via label it is allowed to be a substring.

The XPath selector we use to find fields like this is quite complicated, and consequently quite slow as well.

What if fill_in worked like this instead:

fill_in "Some label", :with => "Text"
fill_in :id => "some-id", :with => "Text"
fill_in :placeholder => "Fill in some text", :with => "Text"
fill_in :name => "some[name]", :with => "Text"

We still preserve the simplicity of the normal case of selecting fields by their label, yet we make it clear when we deviate from that. This would also allow us to compile an XPath selector specific for this scenario, which would probably be quite a bit faster.

For click_link, and click_button the default would be to find them by their text, with :id and :title being valid alternatives.

I'm thinking that combining these two changes, the addition of the exact and ambiguous options, as well as defaulting to only finding fields, links and buttons by their labels or text respectively, would give us clearer, faster more easily understandable tests.

Taking it further

Requiring options such as :id works quite well for click_link and fill_in, but it works less well for select, which selects an element from a select box.

select "Programmer", :from => { :id => "profession" }
select "Programmer", :id => "profession"
select "Programmer", :from_id => "profession"

None of these options strike me as particularly elegant.

Departing from the current API even further, we could take a slice from the watir-webdriver API and instead change the API to look something like this:

text_field("Name", :exact => false).fill_in("Jonas")
button("Create", :ambiguous => false).click

This would make the API much more consistent, while perhaps sacrificing readability a little. In addition, this would be an even more radical departure from the current API, and for various reasons, we would probably not be able to provide a compatibility layer for this new style.

Please tell me what you think!

This blog post is just me thinking out loud. I haven't decided yet that these are changes that we should make, and I would love to hear what you think. Do you think these changes are necessary? Is it worth the API breakage? Should we switch over completely or work to maintain backward compatibility at least for the time being through a configuration option? Do you have any other alternatives or suggestions? Please let me know.


The Year 2012 — A Summary

It's time for the traditional "year in review" post, as I've done for the two previous years (2011 and 2010).

Nordic Ruby

As always, one of the big highlights of the year was Nordic Ruby, our annual Ruby conference here in Sweden. Moving the conference from Gothenburg to a beautiful Japanese style spa in Stockholm was a big hit. I had lots more to say in my post about Nordic Ruby 2012.

Johannes, Anders T, and Jimmy relaxing at Nordic Ruby 2012

New team members

Early this year, we welcomed two new developers to the team: Ivan Navarrete and Anders Carlsson. Ivan had been freelancing with us every now and then since the start of Elabs, and he finally agreed to join us full-time. We knew Anders C (not to be confused with Anders T) from the Ruby and Cocoa user groups, and he's been a great addition to the team.

Right before our summer vacation we also hired Robin Rundkvist, our third designer. He proved himself right away by taking charge of the design of our project for Pernod Ricard.

This brings us to 11 people total. We now have 3 designers and 3 developer pairs, a perfect balance for us.

Open source

We released several new open source projects this year. Two of the most interesting ones are Serenade.js, a JavaScript MVC framework, and Pundit, a Ruby on Rails authorization library. We also spent lots of time improving our old projects. Most notably, Jonas released Capybara 2.0.

Client projects

We've been fortunate to work on some very interesting projects for great clients this year, including Pernod Ricard, LivingSocial, Fujitsu, SEOmoz, Shotbox, and Menyou to name a few. I look forward to telling you more about some of these projects next year.


In between client projects, we also managed to find some time to finally launch our first product: ProjectPuzzle. We've been using ProjectPuzzle to keep track of our own project scheduling and staffing for a long time, but getting merchant accounts, payment gateways, etc. in order so that we could start selling subscriptions took way too long. I'm very happy that's it's finally released, and I'm excited about our plans for it next year.

What's next?

In addition to continuing working with our existing and new clients, I have three things that I'm personally very excited about working on next year.

Marketing. I've been thinking a lot lately about how we talk about who we are and what we do. We've started working on a new website that will do a much better job of explaining how we help our clients. Sign up for our newsletter, and we'll keep you posted as we work on our progress.

ProjectPuzzle. Now that we have released the first version, it's time to focus on getting more customers for it, and to start steadily improving the product. If you haven't tried ProjectPuzzle yet, you can sign up for a free trial.

Nordic Ruby. This year's Nordic Ruby was definitely the best one yet. Next year's is going to be even better. We'll release a few early tickets in January. Follow @nordicruby on Twitter so you don't miss it.

Happy New Year!

/ CJ & the Elabs team