• Scratch@sh.itjust.works
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    4 days ago

    Small PR are easy to review and parse. Work gets broken down in to small, shippable changes. If you couple that with feature flags, you can get to a point where shipping a release is as easy as building whatever the latest commit is on Main and pushing it out the door.

    Automate that, do it every week or two.

    • bluGill@fedia.io
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      4 days ago

      Easy to say if your code doesn’t matter. If you work for regulated industries (FAA, FDA) you can’t ship it out the door.

      I have been working on automating our tests for years. Manual testing still finds a lot of things despite passing all the automated tests. I’m now convinced anyone who says “automate that” doesn’t care about quality, humans are too good at finding things.

      • Scratch@sh.itjust.works
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        4 days ago

        I completely agree. Not mentioned in my spiel is the constant human QA effort, each ticket merged gets checked, releases get a week of testing before release to the public.

        Also, yeah. I’m iOS frontend. I make pixels dance. Either I leave security to Keychain or I hope (read: confirm) backend is sanitising inputs.

    • thejml@lemm.ee
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      4 days ago

      I completely agree, but every week or two is too long. At one point we had ours running builds + automated regression testing => release twice or more a day. Along with automatic change logs and monitoring, It was so nice. Tiny updates are always better to test and know exactly what/where/how a failure or positive change occurs when the cadence is that fast. The devs loved it, the QA loved it, and as a DevOps, I loved it. We were even able to do AB testing and rolling updates.

      It only got worse when management changed hands and some people decided on going agile in a “Scrum-but” method and it’s been a drag that sprints are 3 weeks long. Now releases take longer, have larger impact for better or worse, and regression testing is much more complex and I have to be more involved in releasing new code. The faster cadence meant it happened so often it was fully automated and I didn’t even know when most went out unless I was watching a dashboard.