Nice exploration of the GitLab database schema. This highlights and finds quite a few of the choices made with an eye on performances.
Making sure maintainers are well paid is indeed an ongoing problem. There is currently no perfect solution within the world we live in. This is indeed no reason to blame the maintainers themselves for the approach they picked.
Definitely true. This is why I refrain from using the term nowadays... this allows to focus on the principles instead. Takes more time to explain but allow for slow and steady change management. Indeed it's not perceived as an all or nothing situation anymore.
Nice advices for API design. First time I see the term "inert" used in this context. Definitely one I should keep in mind and use when appropriate.
Plenty of good tips in there. I knew quite a few, but there are a few nuggets that I'll test drive I think.
Definitely this. Managing expectations is a big part of management. It's also important for customer relationship. In both cases, clear communication and finding misunderstandings early are key.
Happy birthday indeed. Was an excellent and culturally relevant game.
Interesting tool for file type detection. Seems very accurate too.
Some reasons why Python and C behave differently on this matter. It's a source of mistakes.
Interesting idea... indeed organizations can carry legacy processes and ideas as well.
Looks like a nice list of resources to dive deeper with WebGPU
Definitely this, it's better when you don't make people feel stupid.
Excellent news, let's hope this thwarts the commission plans as expected.
Looks like the BBC likes the fediverse experiment so far. Engagement is even better than on Twitter at times. Let's hope they keep expanding.
Good reminder that contributions are not only about code. Documentation, support, release management and so on are very important as well and too often underrated.
Interesting to see WebGPU bindings for Python.
Interesting approach when managing at a distance. It tries hard to stay lightweight which is definitely welcome.
Interesting project, could bring a boost in AMD GPUs usage for CUDA workloads.
Interesting paper evaluating a Life Cycle Assessment (LCA) method to estimate the power consumption and environmental impact of generative AI services. This is illustrated on a single service, hopefully we'll see more such assessments.
This is a bit cartoonish I'd say but there's some truth to it. I indeed regularly get onto consulting gig where you find out that the people already had the solution to their problem. In those cases it's very often because communication channels are broken somewhere (team don't feel at liberty to share what they noticed, managers having a hard time to listen, etc.).