Awesome

Guidelines

Design and coding standards for LambdaClass.

This will be quick and dirty list for now.

Generalities

• make is the build tool. Consider these notes.
• Postgresql is the default database.
• Write tests.
• Favor integration tests over unit tests, but do write unit tests when the functions merit them.
• Do not write tests before you have solved the problem, you may waste time writing tests for the wrong implementation.
• Start with the simplest thing that could possibly work.
• Don't try to foresee future uses of your program: You aren't gonna need it.
• Write for humans: coding for computers is easy, but writing code that is understandable by another person is an art.
• Code and document in english, unless you have a very specific reason no to.
• Use meaningful, readable names for variables, functions and files. Don't try to save characters.
• Documentation is a sign of the quality of an API. It's easier to write it when the design is right.
• The less code you have the better. Deleted code is debugged code.
• Aim for simplicity, not performance. The latter is a by-product of the first.
• Only introduce optimizations if you have benchmarks that proof an improvement and that the improvement is relevant in the context of the program.
• Only introduce optimizations if they represent a concrete gain (e.g. cost savings, improved user experience).
• Follow the Zen of Python, regardless of the language you are using at the moment. English also counts as a language.
• Don't introduce dependencies prematurely. You must evaluate your requirements, maintenance and integration costs first.
• If you want to upgrade a dependency, test it first.
• Always lock your dependencies. Pin a specific version and a commit of a dependency, don't use the version at master.
• Use git and commit often, even in one-person projects.

Open source projects

• Use MIT license.
• Fill the description field at the top of the repo page.
• Write a decent README.
• A good readme starts with a succint description (one or two sentences) and, when possible, a very short and illustrative example use. The rest of the details go after this header.
• Use continuous integration, most likely travis.org.
• Make a good balance of features vs maintenance. Maintenance details usually matter more than adding a lot of features.

Erlang projects

• Use rebar3. Include the binary in the repository so it's not an external dependency and the tested version is used. rebar3 is not used directly but through make targets.
• Support the most recent Erlang version.
• When building libraries, try to make them both easily usable from the shell and easily configurable via application environment.
• Indent with two spaces.
• Avoid using header files (.hrl) [TODO ELABORATE].
• Supervised processes provide guarantees in their initialization phase, not a best effort. If you expect failure to happen on an external service, do not make its presence a guarantee of your system.
• Try to avoid timer:sleep on tests, ktn_task:wait_for_success can be a better option. More on this here.
• Prefer maps to records.

Python projects

• The Zen of Python is your bible.
• Use Python 3 in greenfield projects.
• Strive to migrate to Python 3 in non greenfield projects.
• Read this to understand environment hell in Python.
• Use pipenv to escape from environment hell in Python. You can even do this locally in projects that are set up to use virtualenv and virtualenvwrapper.
• If you also need to stick with a specific minor version of Python (e.g. Python 2.7.14) you can use pyenv in combination with pipenv.