Programming: Taxonomy of Tech Debt, Python and More
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A Taxonomy of Tech Debt
Hi there. I’m Bill “LtRandolph” Clark, and I’m the engineering manager for the Champions team on LoL. I’ve worked on several different teams on League over the past years, but one focus has been consistent: I’m obsessed with tech debt. I want to find it, I want to understand it, and where possible, I want to fix it.
When engineers talk about any existing piece of technology - for example League of Legends patch 8.4 - we often talk about tech debt. I define tech debt as code or data that future developers will pay a cost for. Countless blog posts, articles, and definitions have been written about this scourge of software development. This post will focus on types of tech debt I’ve seen during my time working at Riot, and a model for discussing it that we’re starting to use internally. If you only take away one lesson from this article, I hope you remember the “contagion” metric discussed below.
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6 Python datetime libraries
Once upon a time, one of us (Lacey) had spent more than an hour staring at the table in the Python docs that describes date and time formatting strings. I was having a hard time understanding one specific piece of the puzzle as I was trying to write the code to translate a datetime string from an API into a Python datetime object, so I asked for help.
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