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I could see how someone would get that impression If they've only worked at companies who only exist solely to light VC cash on fire.
It's an incorrect impression, obviously.
For >20 year old code, Calc.exe is just one example off the top of my head - https://github.com/Microsoft/calculator
The majority of the products I've personally worked on over my 15 year career in software development are still doing useful things and contain code written more than 20 years ago.
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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Ahhh... a fellow traveller on the road.
I have been hacking on a Clojure/Script library (https://github.com/wotbrew/relic) to experiment with exactly this kind of thing. / PLUG
For most problems I encounter I want to focus on the data and its relationships.
I cannot help feeling like our programming languages an idioms have me deal way to much with 'mechanism', the machine like structures and forms that are mostly incidental to the data domains I work in, and are entirely about performance, layout, access pattern etc - when a machine could do an ok job of making those decisions for me until optimisation becomes important.
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amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
I always install https://github.com/awslabs/amazon-redshift-utils/tree/master... on my Redshift clusters.
What you are describing as code reuse exists for databases, but they are called applications and generally utilize a general purpose programming language. It doesn’t make sense to have a SLA data model library because every use case is different. It’s a database, not procedural code.
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