> GitLab Inc., (NASDAQ: GTLB), the most comprehensive AI-powered DevSecOps platform
Also, as far as I can, the security centre wouldn't let you download a .csv of current security issues in the repo - the UI lets you do a bunch of filtering, but the .csv always gives you everything, including issues that you've closed.
We gave up on that and decided to use another tool.
My gripe with GL is that all features are like this now. There is no invest into the basic building blocks, just yapping for the next trend. Most customers for GL use it on premise because they want to use it on prem. I would focus on Features that benefit that crowd, but hey I am just an developing not a gilded c suite.
Or replacing "For example, If you're charging for API requests" to "For example, If you're charging for LLama AI Model API requests".
Heck, I had to review a doc change at work that was pretty stupid. Like one thing we offer is an S3-compatible endpoint. But someone thought we should clarify that you can upload AI models there too and all our docs should include an "AI developer" section for how to upload a blob that also happen to be a model or a lora or whatever.
Because apparently Minio is for AI these days: https://min.io/
When the AI craze stated, so many people in my company came to me asking “if we can run AI workload”? another thing we offer is fairly generic compute meant for your average web applications or micro service etc. Initially I said “I don’t think so. We don’t have GPUs nor do we have any ability to express hardware requirements beyond CPU and Memory. We’ll need to do some work to include GPU into that”.
Then hilariously I learned that you don’t need GPUs or ASICs to be able to run “AI workloads”. If your compute allows you to call OpenAI rest APIs, then you’re also “AI Ready”.
or.. something.