<story><title>Tesla engineers were on-site to evaluate the Twitter staff’s code, workers said</title><url>https://www.washingtonpost.com/technology/2022/10/29/elon-musk-twitter-takeover/</url></story><parent_chain><item><author>pavlov</author><text>I worked at Facebook and remember what it was like to first face the total complexity of the system.&lt;p&gt;It’s really hard for me to imagine myself working at a company that deals almost exclusively with machine-generated data (as Tesla does) and being assigned to judge a social platform’s engineering qualify &lt;i&gt;in one day&lt;/i&gt;. Cars and spaceships on a closed network are fundamentally “clean” compared to having hundreds of millions of people who produce dirty and often adversarial data.&lt;p&gt;But I guess the point of this exercise isn’t really to judge code quality, but to drive fear at Twitter.</text></item></parent_chain><comment><author>bertil</author><text>I suspect it’s less a complete review and more an interview of the senior technical manager, to get a sense of whether they are up to par. Do they think about observability, alerting, refactoring, service architecture, etc. reasonably well? Are there issues with how they motivate their teams or when they give them responsibilities? Are timelines challenging but doable?&lt;p&gt;“Code” is most likely “architecture” and “architecture” is code for “management”.</text></comment>
<story><title>Tesla engineers were on-site to evaluate the Twitter staff’s code, workers said</title><url>https://www.washingtonpost.com/technology/2022/10/29/elon-musk-twitter-takeover/</url></story><parent_chain><item><author>pavlov</author><text>I worked at Facebook and remember what it was like to first face the total complexity of the system.&lt;p&gt;It’s really hard for me to imagine myself working at a company that deals almost exclusively with machine-generated data (as Tesla does) and being assigned to judge a social platform’s engineering qualify &lt;i&gt;in one day&lt;/i&gt;. Cars and spaceships on a closed network are fundamentally “clean” compared to having hundreds of millions of people who produce dirty and often adversarial data.&lt;p&gt;But I guess the point of this exercise isn’t really to judge code quality, but to drive fear at Twitter.</text></item></parent_chain><comment><author>aliqot</author><text>&amp;gt; drive fear at Twitter&lt;p&gt;Auditing what you just bought is about as smart as taking the used car you just bought to the shop to get everything checked over and tightened and lubricated.</text></comment>