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Posts
3
Comments
945
Joined
2 yr. ago

  • I tried long ago, but as they said, client side authentication is an issue, most clients do not support it.

    I have a system, I use wireguard vpn and for when I want to use a domain name with proper tls (because some client apps require a proper tls connection to work) I set my caddy reverse proxy to only accept request from localhost local network.

    So, there's a public domain with let's encrypt TLS, and that domain can only be properly access from local network. Then I connect using vpn to my local network and the client app can access the service over a CA verified TLS.

  • The walking ants.

  • It would be inappropriate for a dead ant to move.

  • Fertility rituals. All very ritualistic.

  • bi_irl

  • Don't go crazy about abstraction.

    Sometimes it's better to write some code twice than expending two weeks trying to make a fit-all new class with 50 interfaces.

    Sometimes you should do that, but for many projects that level of abstraction is not needed.

  • To be fair having abs is not that much about abs muscle size but about low fat percentage.

  • Yes. And women should be worried around them.

  • It would be a boring movie if the protagonist were asleep all the time.

  • Any interesting video recommendations?

  • Does it ever work at all? even 1 in a million times seems too many to me.

    I've only known of that working in Grindr or sites like that where thirsty population is high, and where most people are seeking for that. But in normal social media I wouldn't expect to ever work, at all.

  • Rather eaten by a t-rex than red.

  • You have to get familiar with the codebase at some point. When you are unfamiliar, in my experience, LLMs can provide help understanding it. Copying large portions of code you don't really understand and asking for an analysis and explanation.

    Not so far ago I used it on assembly code. It would have taken ages to decipher what it was doing by myself. The AI sped up the process.

    But once you are very familiar with a established project you had work a lot with, I don't even bother asking LLMs anything, as in my experience, I come up with better answers quicker.

    At the end of the day we must understand that a LLM is more or less an statistical autocomplete trained on a large dataset. If your solution is not on the dataset the thing is not going to really came up with a creative solution. And the thing is not going to run a debugger on your code either, afaik.

    When I use it the question I ask myself the most before bothering is "is the solution likely to be on the training dataset?" or "is it a task that can be solved as a language problem?"

  • I find it more useful doing large language transformations and delving into unknown patterns, languages or environments.

    If I know a source head to toe, and I'm proficient with that environment, it's going to offer little help. Specially if it's a highly specialized problem.

    Since SVB crash there have been firings left and right. I suspect AI is only an excuse for them.

  • The study was centered on bugfixing large established projects. This task is not really the one that AI helpers excel at.

    Also small number of participants (16) , the participants were familiar with the code base and all tasks seems to be smaller in completion time can screw results.

    Thus the divergence between studio results and many people personal experience that would experience increase of productivity because they are doing different tasks in a different scenario.

  • My pseudo random number generator is shit.

    47

    Super predictable.

    I will need to raise a security ticket.

  • Can AI do balconing?