Continuous Integration is a process of merging all developer working copies to shared mainline several times a day. In practice is when you have in place a system that allow you to trust all changes that all developers are doing in a short period of time in order to have that code complaint and ready to be pushed in production.
There are a lot of different way to do CI but I will stay focused on a very
important expect, you need a policy that contains a series of checks that you
can easy automate. All this steps persisted on every change allow you to mark
that new code as
Automation is an important part to keep your integration continuous, usually what people do is a human review of the code, if one or more people mark your code as complaints and the continuous integration system is agree with them your code can be merged. This is the unique manual step.
But let’s talk about what I call “Silent Checks” they are really one of the best invention that I never saw. Silent Checks are like cigarettes, all know that they are not so good but nobody cares.
Usually your CI system use exit code to understand if a check is good or bad,
your command come back with
0 in case of success or with another number if
something fails. Sometime you can find in your continuous integration checks
that put the status code in a silent mode. The check fails but it’s not important enough.
You have a check that runs but you are not asking people to care about the result. Probably because it’s not important enough. There are few disadvantages about this approach:
Analyse your code is very important but there are other strategies that you can use to avoid this inconvenient. Usually the silent checks are in place in a period of migration, maybe they are important to monitor how it is going. They are just in the bad position. You can move them in a separated job, collected them and analyse what you need to analyse and monitoring trends about how your team works.
I saw a TEDx Talk by Adam Tornhill. He talked about Analyzing Software with forensic psychology. This topic is great! You can get a lot of informations about your application from who is writing that code.
Trends and monitoring not just to understand how your application works but they are fundamentals to understand how your team is working, how they feel and also to catch how your codebase is moving. They are really important and if you are strong enough to have a good monitoring system for that metric you are really in a good position! You just need to understand that insert them into the continuous integration flow is not a good idea.
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