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OP says they don’t think the engineers hired by doing leetcode hard problems (and screening out the …

OP says they don’t think the engineers hired by doing leetcode hard problems (and screening out the folks who can’t) does not engender a good future for the org. Your argument is “I found the interview easy, and hence it’s not that bad.” Just pointing out that perhaps OP thinks the culture you’re part of is not a good one. I’m not taking sides here but curious what this clarification means to you. Your point about engineering not being part of the problem is another. It’s partly true - unless your technology is true main selling point (like openai or maybe google search), then sure engineering makes or breaks the future of the company. So in one way you yourself point out the commodity nature of what companies like Lyft do - given how many companies around the world do it as well now that is. Then the question becomes what exactly are you paying top dollar to these engineers for? Create 4 more unnecessary open source projects to make sure the engineers feel like they’re getting exposure? …

Original discussionLyft to Cut at Least 1,200 Jobs in New Round of Layoffs to Reduce Costs183 source comments · at import
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KG

This seems to be a common trope at HN where the failure of a company must be because of their hiring practice. Your comment also implies that the current failure has been engineering. This couldnt be further from the truth, Lyft had some of the best and smartest engineers. Lyft paid as well as they did because of the risk these engineers took in moving on from Google/Meta/Twitter what have you. FWIW, I found Lyfts interviews to be the easiest of the companies I interviewed at. The companies current downturn stems from the combined blow of COVID and focusing only on rideshare at the expense of not diversifying their revenue streams and their hiring or engineering has had very little to do with it.

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WW

Re: Twitter: Should we be striving for companies to be so short staffed that they can't take sick leave and need to sleep in the office?

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KG

My argument is not that 'I found interview easy and hence not so bad'. My argument is that in Lyfts case engineering hasnt been the problem with why its business is failing. > Then the question becomes what exactly are you paying top dollar to these engineers for? Again Engineering is one vector in a company's success but not the only one. It might well make sense for Lyft to pay well for good engineering talent there. Maybe not paying well might have doom'd them much faster. Your take on OSS is also a naive one . OSS helps in off boarding long term maintenance costs (if the project becomes popular enough) and staves off bit rot. It helps attract talent , creates industry standards etc. Engineering is feature multiplier and for some companies it does make sense to OSS.

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XI

> Elons original thesis of Twitters problems was absolutely correct, why you needed 8000 people to run that org (or whatever the number is for Lyft especially on the engineering side) is beyond me. Overengineered is absolutely the correct term in these cases I think. Anybody who read the mythical man-months knows that adding engineers to a project gets be detremental if it leads to a point where the marginal added communication overhead gets higher without really needing more people to achieve the goal. The usual solution in big companies for the overengineering problem is that people who don't want to fight the org self-select, drink lattes all day long, and let the few people who are needed to solve the engineering problems do the work.

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