371–380 of 750 posts
That's true, but it's interesting how FizzBuzz as said to be the bete noir of the average dimwitted software developer, and how much cutting-edge engineering organizations used to emphasize code in their recruitment processes.
If writing code is being replaced by "engineering judgement" it's going to need a much smaller cohort of developers. Too many opinions spoil the broth, after all.
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It's literally text autocomplete. You can dress it up however you want but it takes input text and outputs the most likely next sequence.
For a good reminder for people on the limitations of AI (or well OAI gpt 5.3 default model for non paying users), I did an experiment recently (Just a week-ish ago): https://smileplease.mataroa.blog/blog/how-many-e-are-in-stra... image: https://mataroa.blog/images/b5c65214.png but it says that there are 3 e's in strawberry ;) Now this is literally something which occurs because of it being text autocomplete and the i…
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They have 2800 employees with 5-10 reports per manager.
At 8 layers of management (so 9 layers total, with the bottom rung being non-management), 3 reports per manager comes out to 6561 employers on the bottom rung. At 5 reports each, that 8 layers would give you over 300k at the bottom, an 10 each would give you 100m at the bottom.
Eight layers total
> Where you should expect to see us evolve is in the quality, depth and pace of innovation we ship. Yes, letting some LLMs "plan, code, review, deploy" will for sure improve quality and depth of innovation you ship.
Layoff something something AI. Yeah, sure. A couple of years ago it was Covid overhiring. You know the one thing that is never ever going to be given as a reason for layoffs? The growing salary-productivity gap.
The reason is investors want more money
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Right? I was seriously considering migrating everything in our company from GitHub to GitLab. Now I'm seriously considering self hosting our git instead.
I don't know if that really solves your problem if the main trunk of development for gitlab is being run through several AI slop machines before they push it to what they call stable, then you download that (or use a debian, redhat package for gitlab which originated from it) and self host on your own machine the results of the AI slop fest.
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There's a 'github down' post here every other day. The ball is right there, bouncing alone in front of the goal, and they just have to position themselves as "we're the stable ones" to score that market when the exodus inevitably happens. Nope, full throttle and stimulants, just because.
This is what happens, when decision makers are out of touch. So many things they could be doing, to make people buy into their services. For example they could simply run campaigns about how they promise to never use customer and user repositories for AI training. Or they could show better uptime statistics. Their CI language is better than Github's too. If anyone gave me a choice between Gitlab and Github, I would g…
Gitlab pricing was bonkers. It always felt like their sales team were trying to play gotcha with us over the years with pricing schemes that would milk us for money.
A lot of the conclusions they're drawing in this post about the "agentic era" seem quite misguided and some don't really seem to make sense. I have no doubt GitLab has too many employees and can benefit from being a more focused company, but it's tiring reading these layoff posts so chock full of buzzwords. I guess they're desperately hoping if they prognosticate about AI enough it will placate the investors.
Their old CREDIT values: Collaboration, Results for Customers, Efficiency, Diversity, Inclusion & Belonging, Iteration, and Transparency. New values: Speed with Quality, Ownership Mindset, Customer Outcomes. In other words, work harder, not smarter, and no more DEI.
There seems to be a massive push against DEI over the last few years in the tech industry globally, despite it being one of the industry's greatest strength. Does anyone know what caused this?