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You don't control Stack Overflow or Reddit, or any number of slack/discords, so I don't know how I'd address that problem, but it's true.
I would love to understand where the original author picked up that unfortunate idea from. I’ve never seen someone do this, and it’s very explicitly throwing away all additional error information by converting it to strings. No wonder you can’t figure out where your errors are coming from!
I know I _could_ define my own error type, but that's tedious, especially if there are many types of errors to handle. For my (non-production) purposes it's been fine.
What's the idiomatic way to handle errors? Is there a way to collect more detailed error information without excessive boilerplate?
You could solve it with existing infrastructure to some extent, eg. your email address is actually a cryptographically generated guid rather than something easily guessed or harvested. If you combine that with a background handshake procedure for introductions, so that all of your contacts get their own guid alias mapped to your canonical one, then you can revoke any of those if they get compromised at any time. Spam is effectively solved.
This is basically like the web of trust, but for email.
I wish I could say I'm surprised by the animosity (and relative lack of substance) in some of the comments you've received, but I guess that's a problem with social media and/or humanity that's unlikely to have a technical solution.
A UNION allows you to use two separate indexes and can speed up queries.
I'm really curious about this. I honestly don't see a case where I would use a coding assistant and everyone I have spoken to that does, hasn't been a strong coder (they would characterize themselves this way and I certainly agree with their assessment).
I'd love to hear from strong coders — people whom others normally go to when they have a problem with some code (whether debugging or designing something new) who now regularly use AI coding assistants. What do you find useful? In what way does it improve your workflow? Are there tasks where you explicitly avoid them? How often do you find bugs in the generated code (and a corollary, how frequently has a bug slipped in that was only caught later)?
For the most part it's not that I'm ceding the thinking to the machine; more often it suggests what I was going to type anyway, which if nothing else saves typing. It's especially helpful if I'm doing something repetitive.
Beyond that, it can save some cognitive load by auto completing a block of code that wouldn't have necessarily been very difficult, but that I would've had a stop to think about. E.g an API I'm not used to, or a nested loop or something.
The other big advantage that comes to mind is when I'm doing something I'm not familiar with, e.g. I recently started using Rust, and copilot has been a major help when I vaguely know what I _want_ to do but don't quite know how to get there on my own. I'm experienced enough to evaluate whether the suggested code does what I want. If there's anything in the output I don't understand, I can look it up.
> Are there tasks where you explicitly avoid them?
Not necessarily that I can think of, but after having copilot on for a little while it's gotten easier to tune it out when I'm not interested in its suggestions or when they're not helpful.
> How often do you find bugs in the generated code (and a corollary, how frequently has a bug slipped in that was only caught later)?
90% of the time I'm only accepting a single line of code at a time, so it's less a question of "is there a bug here" and more "does this do what I want or not?" Like, if I'm writing an email and gmail suggests an end to my sentence, I'm not worried about whether there's a bug in the sentence. If it's not what I want to say, I either don't take the suggestion, or I take the suggestion and modify it.
If I do accept larger chunks of suggested code, I review it thoroughly to the point where it's no longer "the AI's" code -- for all intents and purposes it's mine now. Like I said before, most of the time it's basically the code I was going to write anyway, I just got there faster.
It’s something people have a really difficult time preaching logically, the veil of deception of many things. Another big example is TV, which are ad sales companies, not TV show distributors, even if they’ve successfully swindled people into a mindset where they actually pay the providers, for the privilege of being sold advertisement.
It’s really a rather interesting and eye opening segment of largely the US society that is both extremely dominant and has effectively been extremely damaging, and yet, people simply cannot see that they are like mindless drones, being programmed and reprogrammed with TV shows and advertisement.
I'm vaguely aware of a code leak but haven't delved into the details; I'm curious if you have a link to details about this data harvesting?