I don't think I ever documented this before, so just a quick post to get this out there. Many of us working on open source Haskell libraries already use [Travis CI](https://travis-ci.org/) for doing continuous integration builds of our software. Some time ago they added support for OS X, making it possible to cover Linux and OS X with multiple configurations on their systems. For any project with a [stack.yaml file](https://docs.haskellstack.org/en/stable/yaml_configuration/), this can be easily achieved using the [Stack recommended Travis configuration](https://docs.haskellstack.org/en/stable/GUIDE/#travis-with-caching). Unfortunately, this leaves Windows testing out, which is unfortunate, because Windows is likely to be the most common build to fail. Fortunately, [AppVeyor](https://www.appveyor.com/) provides a similar experience to Travis, but for Windows. In order to get set up, just: 1. Sign in with their web interface and add your Github repo 2. Add an `appveyor.yml` to your project Here's a simple file I've used on a few projects with succeess: ```yaml build: off before_test: # http://help.appveyor.com/discussions/problems/6312-curl-command-not-found - set PATH=C:\Program Files\Git\mingw64\bin;%PATH% - curl -sS -ostack.zip -L --insecure http://www.stackage.org/stack/windows-i386 - 7z x stack.zip stack.exe clone_folder: "c:\\stack" environment: global: STACK_ROOT: "c:\\sr" test_script: - stack setup > nul # The ugly echo "" hack is to avoid complaints about 0 being an invalid file # descriptor - echo "" | stack --no-terminal test ``` All this does is: * Downloads the Stack zip file * Unpacks the stack.exe executable * Changes the `STACK_ROOT` to deal with Windows long path issues * Run `stack setup` to get a toolchain * Run `stack --no-terminal test` to build your package and run the test suites You're free to modify this in any way you want, e.g., add in `--bench` to build benchmarks, add `--pedantic` to fail on warnings, etc. If you have more system library dependencies, you'll need to consult the AppVeyor docs to see how to install them. And in our use cases for Stack, we found that using the AppVeyor caching functionality made builds unreliable (due to the large size of the cache). You may want to experiment with turning it back on, since this setup is _slow_ (it downloads and installs a full GHC toolchain and builds all library dependencies each time).