

speedrunning
speedruining
speedrunning
speedruining
distinct from the Latin alphabet to avoid the impression that the new spellings were simply misspellings.
"For weeks I typed random letters into the command line, and when I entered ls /usr/bin
and man
finally something happened!
This is the next level of learning. Not only do you read how it is, you have to deduct, to assess and explore. Writing your own documentation is the best way to learn after all.
I’ve not used it much, I think I only had to use it in two instances due to customers. From what I remember, the structure and navigation was not hierarchical making navigating very inefficient and irritating.
I’m used to GitLab (and Phabricator in the past, and outside of work GitHub), and much prefer their repo, project, group representation and review UI/UX/workflow.
I’m using it, with two cookie notice filter lists enabled.
Codeberg only hosts open source.
I don’t think there’s a need to switch away.
Many people in Lemmy think otherwise, and have thought so for a long time.
Nothing changed yet due to product integration into Corp.
There’s a threshold where good integration does not trump shit product. Bitbucket sucks. I’m glad we’re not using it even when we’re still stuck with shit Jira and confluence.
Article has a 161 partner data sharing wall.
Are you asking for free storage or for free use of cryptomator and rclone?
I’ve found in-line completions/suggestions useful at times, but multi-line completions always irritating to the point that I disabled them completely. Much more often I want to read surrounding and following code, and not have it be pushed out of view, and rarely was it useful to me.
Of course, that may be largely the project and use case. (And quite limited experience with it.)
I’ve been using phind as a technical-focused AI search engine, which is a great addition to my toolset.
I’m mindful of using it vs searching [ref docs etc], not only in the kind of search and answer I’m looking for but also energy consumption impact, but it’s definitely very useful. I’m a senior dev though, and know what to expect and I am able to assess plausibility, and phind provides sources I can inspect too.
As for code assistance, I find it plausible that it can be useful, even if from my personal experience I’m skeptical.
I watched an Microsoft talk from two devs, which was technically sound and plausible in that it was not just marketing but they talked about their experience, including limits of AI, and where they had to and to what degree they had to deal with hallucinations and cleanup. They talked about where they see usefulness in AI. They were both senior, and able to assess plausibility, and do corrections where necessary. What I remember; they used it to bounce ideas back and forth, to do an implementation draft they then go over and complete, etc.
Microsoft can do the investment of AI setup, code sharing to model, AI instructions/meta-description setup investment, etc.
My personal experience was in using copilot for Rust code, for Nushell plugins. I’m not very familiar with Rust, and it was very confusing, and with a lot of hallucinations.
The PR descriptions CodeRabbit did were verbose and not useful for smaller PRs I made. That has been a while ago.
At work we have a voluntary work group exploring AI. The whole generate your whole app kind of thing seems plausible for UI prototypes. But nothing more. And for that it’s probably expensive.
I’m not sure how much the whole thing does or can do for efficiency. Seems situational - in terms of environment, setup, capabilities, and kind of work and approach.
Why does this pcmag website auto-play a “How to use Gemini AI to plan your trip”, which is completely unrelated to this article/topic?
Fuck that.
Opt-out from a Leak?
I totally get how uncalled-for, unjustified negative comments and interactions can be demoralizing.
It’s unfortunate how much impact bad actors have. It needs just one malicious actor to ruin something.
I keep forgetting other people’s passwords all the time
That goes directly against the open, transparent development model of the Linux Kernel.
When you’re developing in the open, everything becomes “public relations”.
The reinforcement learning is a good point, but the social aspect seems equally important to me. Humanity is a very social creature. We learn from others, we seek agreement and acknowledgment, if we see rejection from one end, we may be all too willing to seek out where we don’t see rejection.
A trained chat bot hijacking this evolved mechanism is interesting, at least, if not ironic or absurd. We are so driven by the social mechanisms of communication and social ideation, that no human is needed for this mechanism to work - whether in good or bad effect.
That’s big enough to do disk backups in the mailbox.