Equally, if you're *not* using Magnolia for generic derivation, I'd be interested to know that too, especially if you tried it and it didn't work out for some reason: I'd like to do my best to remove those reasons, if I can!
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We're using Magnolia at JP Morgan to do extremely complicated generic derivation in our model driven engineering stack. Honestly it's the hardest thing I've had to code, and so rewarding when it finally worked!
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That's fantastic to hear! (I hope the "hardness" is inherently due to the problem, rather than anything to do with Magnolia, though...)
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We're using magnolia for scalacheck instances, tapir, and I'm planning to move circe derivation to magnolia as well!
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I'll talk to you about this...
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We use Magnolia in our logging library to derive encoder instances for case classes here: https://github.com/emartech/scala-logger/blob/master/src/main/scala/com/emarsys/logger/loggable/GenericLoggableEncoder.scala …
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I’m using magnolia for my BigQuery client library:https://github.com/solidninja/albion …
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We are in the process of using Magnolia for zio-config -https://github.com/zio/zio-config
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@propensive Adding on to above note, an initial version was done using Magnolia, and had very smooth experience. https://github.com/zio/zio-config/blob/magnolia/examples/src/main/scala/zio/config/examples/AutomaticConfigDescExample.scala#L12 …
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We are using it at
@Univalence for our projects. I wrote a fr blog post about it and we tend to recommend it to our customers.Thanks. Twitter will use this to make your timeline better. UndoUndo
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