Skip to content

Vibe coding service Replit deleted production database

Technology
118 73 28
  • This post did not contain any content.

    Not mad about an estimated usage bill of $8k per month.
    Just hire a developer

  • Replit was pretty useful before vibe coding. How the mighty have fallen.

    First time I'm hearing them be related to vibe coding. They've been very respectable in the past, especially with their open-source CodeMirror.

  • I explicitly told it eleven times in ALL CAPS not to do this. I am a little worried about safety now.

    Well then, that settles it, this should never have happened.

    I don’t think putting complex technical info in front of non technical people like this is a good idea. When it comes to LLMs, they cannot do any work that you yourself do not understand.

    That goes for math, coding, health advice, etc.

    If you don’t understand then you don’t know what they’re doing wrong. They’re helpful tools but only in this context.

    I explicitly told it eleven times in ALL CAPS not to do this. I am a little worried about safety now.

    This baffles me. How can anyone see AI function in the wild and not conclude 1) it has no conscience, 2) it's free to do whatever it's empowered to do if it wants and 3) at some level its behavior is pseudorandom and/or probabilistic? We're figuratively rolling dice with this stuff.

  • I explicitly told it eleven times in ALL CAPS not to do this. I am a little worried about safety now.

    This baffles me. How can anyone see AI function in the wild and not conclude 1) it has no conscience, 2) it's free to do whatever it's empowered to do if it wants and 3) at some level its behavior is pseudorandom and/or probabilistic? We're figuratively rolling dice with this stuff.

    It’s incredible that it works, it’s incredible what just encoding language can do, but it is not a rational thinking system.

    I don’t think most people care about the proverbial man behind the curtain, it talks like a human so it must be smart like a human.

  • It’s incredible that it works, it’s incredible what just encoding language can do, but it is not a rational thinking system.

    I don’t think most people care about the proverbial man behind the curtain, it talks like a human so it must be smart like a human.

    it talks like a human so it must be smart like a human.

    Yikes. Have those people... talked to other people before?

  • He had one db for prod and dev, no backup, llm went in override mode and delete it dev db as it is developing but oops that is the prod db. And oops o backup.

    Yeah it is the llm and replit’s faults. /s

    There was a backup, and it was restored. However, the LLM lied and said there wasn't at first. You can laugh all you want at it. I did. But maybe read the article so you aren't also lying.

  • it talks like a human so it must be smart like a human.

    Yikes. Have those people... talked to other people before?

    Smart is a relative term lol.

    A stupid human is still smart when compared to a jellyfish. That said, anybody who comes away from interactions with LLM's and thinks they're smart is only slightly more intelligent than a jellyfish.

  • Coming up with even more vague terms to try to downplay it is missing the point. The point is simple: it's able to solve complex problems and do very impressive things that even human struggle to, in very short time. It doesn't really matter what we consider true abstract thought of true inference. If that is something humans do, then what it does might very well be more powerful than true abstract thought, because it's able to solve more complex problems and perform more complex pattern matching.

    Well the thing is, LLMs don't seem to really "solve" complex problems. They remember solutions they've seen before.

    The example I saw was asking an LLM to solve "Towers of Hanoi" with 100 disks. This is a common recursive programming problem, takes quite a while for a human to write the answer to. The LLM manages this easily. But when asked to solve the same problem with with say 79 disks, or 41 disks, or some other oddball number, the LLM fails to solve the problem, despite it being simpler(!).

    It can do pattern matching and provide solutions, but it's not able to come up with truly new solutions. It does not "think" in that way. LLMs are amazing data storage formats, but they're not truly 'intelligent' in the way most people think.

  • in which the service admitted to “a catastrophic error of judgement”

    It’s fancy text completion - it does not have judgement.

    The way he talks about it shows he still doesn’t understand that. It doesn’t matter that you tell it simmering in ALL CAPS because that is no different from any other text.

    judgement

    Yeah, it admitted to an error in judgement because the prompter clearly declared it so.

    Generally LLMs will make whatever statement about what has happened that you want it to say. If you told it it went fantastic, it would agree. If you told it that it went terribly, it will parrot that sentiment back.

    Which what seems to make it so dangerous for some people's mental health, a text generator that wants to agree with whatever you are saying, but doing so without verbatim copying so it gives an illusion of another thought process agreeing with them. Meanwhile, concurrent with your chat is another person starting from the exact same model getting a dialog that violently disagrees with the first person. It's an echo chamber.

  • I explicitly told it eleven times in ALL CAPS not to do this. I am a little worried about safety now.

    Well then, that settles it, this should never have happened.

    I don’t think putting complex technical info in front of non technical people like this is a good idea. When it comes to LLMs, they cannot do any work that you yourself do not understand.

    That goes for math, coding, health advice, etc.

    If you don’t understand then you don’t know what they’re doing wrong. They’re helpful tools but only in this context.

    What are they helpful tools for then? A study showed that they make experienced developers 19% slower.

  • There was a backup, and it was restored. However, the LLM lied and said there wasn't at first. You can laugh all you want at it. I did. But maybe read the article so you aren't also lying.

    Not according to the twitter thread. I went thru its thread, it’s a roller coaster of amateurism.

  • Well the thing is, LLMs don't seem to really "solve" complex problems. They remember solutions they've seen before.

    The example I saw was asking an LLM to solve "Towers of Hanoi" with 100 disks. This is a common recursive programming problem, takes quite a while for a human to write the answer to. The LLM manages this easily. But when asked to solve the same problem with with say 79 disks, or 41 disks, or some other oddball number, the LLM fails to solve the problem, despite it being simpler(!).

    It can do pattern matching and provide solutions, but it's not able to come up with truly new solutions. It does not "think" in that way. LLMs are amazing data storage formats, but they're not truly 'intelligent' in the way most people think.

    This only proves some of them can't solve all complex problems. I'm only claiming some of them can solve some complex problems. Not only by remembering exact solutions, but by remembering steps and actions used in building those solutions, generalizing, and transferring them to new problems. Anyone who tries using it for programming, will discover this very fast.

    PS: Some of them were already used to solve problems and find patterns in data humans weren't able to get other ways before (particle research in CERN, bioinformatics, etc).

  • Shit, deleting prod is my signature move! AI is coming for my job 😵

    Just know your worth. You can do it cheaper!

  • Not mad about an estimated usage bill of $8k per month.
    Just hire a developer

    But then how would he feel so special and smart about "doing it himself"???? Come on man, think of the rich fratboys!! They NEED to feel special and smart!!!

  • Title should be “user give database prod access to a llm which deleted the db, user did not have any backup and used the same db for prod and dev”. Less sexy and less llm fault.
    This is weird it’s like the last 50 years of software development principles are being ignored.

    But like the whole 'vibe coding' message is the LLM knows all this stuff so you don't have to.

    This isn't some "LLM can do some code completion/suggestions" it's "LLM is so magical you can be an idiot with no skills/training and still produce full stack solutions".

  • it talks like a human so it must be smart like a human.

    Yikes. Have those people... talked to other people before?

    Yes, and they were all as smart at humans. 😉

    So mostly average but some absolute thickos too.

  • This post did not contain any content.

    The [AI] safety stuff is more visceral to me after a weekend of vibe hacking,” Lemkin said. I explicitly told it eleven times in ALL CAPS not to do this. I am a little worried about safety now.

    This sounds like something straight out of The Onion.

  • The [AI] safety stuff is more visceral to me after a weekend of vibe hacking,” Lemkin said. I explicitly told it eleven times in ALL CAPS not to do this. I am a little worried about safety now.

    This sounds like something straight out of The Onion.

    The Pink Elephant problem of LLMs. You can not reliably make them NOT do something.

  • What are they helpful tools for then? A study showed that they make experienced developers 19% slower.

    Vibe coding you do end up spending a lot of time waiting for prompts, so I get the results of that study.

    I fall pretty deep in the power user category for LLMs, so I don’t really feel that the study applies well to me, but also I acknowledge I can be biased there.

    I have custom proprietary MCPs for semantic search over my code bases that lets AI do repeated graph searches on my code (imagine combining language server, ctags, networkx, and grep+fuzzy search). That is way faster than iteratively grepping and code scanning manually with a low chance of LLM errors. By the time I open GitHub code search or run ripgrep Claude has used already prioritized and listed my modules to investigate.

    That tool alone with an LLM can save me half a day of research and debugging on complex tickets, which pays for an AI subscription alone. I have other internal tools to accelerate work too.

    I use it to organize my JIRA tickets and plan my daily goals. I actually get Claude to do a lot of triage for me before I even start a task, which cuts the investigation phase to a few minutes on small tasks.

    I use it to review all my PRs before I ask a human to look, it catches a lot of small things and can correct them, then the PR avoids the bike shedding nitpicks some reviewers love. Claude can do this, Copilot will only ever point out nitpicks, so the model makes a huge difference here. But regardless, 1 fewer review request cycle helps keep things moving.

    It’s a huge boon to debugging — much faster than searching errors manually. Especially helpful on the types of errors you have to rabbit hole GitHub issue content chains to solve.

    It’s very fast to get projects to MVP while following common structure/idioms, and can help write unit tests quickly for me. After the MVP stage it sucks and I go back to manually coding.

    I use it to generate code snippets where documentation sucks. If you look at the ibis library in Python for example the docs are Byzantine and poorly organized. LLMs are better at finding the relevant docs than I am there. I mostly use LLM search instead of manual for doc search now.

    I have a lot of custom scripts and calculators and apps that I made with it which keep me more focused on my actual work and accelerate things.

    I regularly have the LLM help me write bash or python or jq scripts when I need to audit codebases for large refactors. That’s low maintenance one off work that can be easily verified but complex to write. I never remember the syntax for bash and jq even after using them for years.

    I guess the short version is I tend to build tools for the AI, then let the LLM use those tools to improve and accelerate my workflows. That returns a lot of time back to me.

    I do try vibe coding but end up in the same time sink traps as the study found. If the LLM is ever wrong, you save time forking the chat than trying to realign it, but it’s still likely to be slower. Repeat chats result in the same pitfalls for complex issues and bugs, so you have to abandon that state quickly.

    Vibe coding small revisions can still be a bit faster and it’s great at helping me with documentation.

  • This post did not contain any content.

    It sounds like this guy was also relying on the AI to self-report status. Did any of this happen? Like is the replit AI really hooked up to a CLI, did it even make a DB to start with, was there anything useful in it, and did it actually delete it?

    Or is this all just a long roleplaying session where this guy pretends to run a business and the AI pretends to do employee stuff for him?

    Because 90% of this article is "I asked the AI and it said:" which is not a reliable source for information.

  • The Internet is for Extremism - by Jeremiah Johnson

    Technology technology
    9
    1
    83 Stimmen
    9 Beiträge
    78 Aufrufe
    L
    I've been saying this for years. glad someone wrote about it.
  • HMD is ‘scaling back’ in the US, killing Nokia all over again

    Technology technology
    8
    1
    104 Stimmen
    8 Beiträge
    71 Aufrufe
    realitista@lemmy.worldR
    They've also been reborn as a health devices manufacturer, Withings.
  • 295 Stimmen
    31 Beiträge
    230 Aufrufe
    A
    I have a rough idea of their efficiency as I've used them, not in professional settings but I wager it would not be too different. My point is more that it feels like the rugs are finally starting to get pulled. This tech is functionnal as you said, it works to a point and that point is enough for a sizeable amount of people. But I doubt that the price most people are paying now is enough to cover the cost of answering their queries. Now that some people, especially younger devs or people who never worked without those tools are dependant on it, they can go ahead and charge more. But it's not too late, so I'm hoping it will make some people more aware of that kind of scheme and that they will stop feeding the AI hype in general.
  • Oracle Inks Cloud Deal Worth $30 Billion a Year

    Technology technology
    2
    13 Stimmen
    2 Beiträge
    24 Aufrufe
    J
    And it mentioned nothing...
  • 454 Stimmen
    149 Beiträge
    670 Aufrufe
    eyekaytee@aussie.zoneE
    They will say something like solar went from 600gw to 1000 thats a 66% increase this year and coal only increased 40% except coal is 3600gw to 6400. Hrmmmm, maybe these numbers are outdated? Based on this coal and gas are down: In Q1 2025, solar generation rose 48% compared to the same period in 2024. Solar power reached 254 TWh, making up 10% of total electricity. This was the largest increase among all clean energy sources. Coal-fired electricity dropped by 4%, falling to 1,421 TWh. Gas-fired power also went down by 4%, reaching 67 TWh https://carboncredits.com/china-sets-clean-energy-record-in-early-2025-with-951-tw/ are no where close to what is required to meet their climate goals Which ones in particular are you talking about? Trump signs executive order directing US withdrawal from the Paris climate agreement — again https://apnews.com/article/trump-paris-agreement-climate-change-788907bb89fe307a964be757313cdfb0 China vowed on Tuesday to continue participating in two cornerstone multinational arrangements -- the World Health Organization and Paris climate accord -- after newly sworn-in US President Donald Trump ordered withdrawals from them. https://www.france24.com/en/live-news/20250121-china-says-committed-to-who-paris-climate-deal-after-us-pulls-out What's that saying? You hate it when the person you hate is doing good? I can't remember what it is I can't fault them for what they're doing at the moment, even if they are run by an evil dictatorship and do pollute the most I’m not sure how european defense spending is relevant It suggests there is money available in the bank to fund solar/wind/battery, but instead they are preparing for? something? what? who knows. France can make a fighter jet at home but not solar panels apparently. Prehaps they would be made in a country with environmental and labour laws if governments legislated properly to prevent companies outsourcing manufacturing. However this doesnt absolve china. China isnt being forced at Gunpoint to produce these goods with low labour regulation and low environmental regulation. You're right, it doesn't absolve china, and I avoid purchasing things from them wherever possible, my solar panels and EV were made in South Korea, my home battery was made in Germany, there are only a few things in my house made in China, most of them I got second hand but unfortunately there is no escaping the giant of manufacturing. With that said it's one thing for me to sit here and tut tut at China, but I realise I am not most people, the most clearest example is the extreme anti-ai, anti-billionaire bias on this platform, in real life most people don't give a fuck, they love Amazon/Microsoft/Google/Apple etc, they can't go a day without them. So I consider myself a realist, if you want people to buy your stuff then you will need to make the conditions possible for them to WANT to buy your stuff, not out of some moral lecture and Europe isn't doing that, if we look at energy prices: Can someone actually point out to me where this comes from? ... At the end of the day energy is a small % of EU household spending I was looking at corporate/business energy use: Major European companies are already moving to cut costs and retain their competitive edge. For example, Thyssenkrupp, Germany’s largest steelmaker, said on Monday it would slash 11,000 jobs in its steel division by 2030, in a major corporate reshuffle. https://oilprice.com/Latest-Energy-News/World-News/High-Energy-Costs-Continue-to-Plague-European-Industry.html Prices have since fallen but are still high compared to other countries. A poll by Germany's DIHK Chambers of Industry and Commerce of around 3,300 companies showed that 37% were considering cutting production or moving abroad, up from 31% last year and 16% in 2022. For energy-intensive industrial firms some 45% of companies were mulling slashing output or relocation, the survey showed. "The trust of the German economy in energy policy is severely damaged," Achim Dercks, DIHK deputy chief executive said, adding that the government had not succeeded in providing companies with a perspective for reliable and affordable energy supply. https://www.reuters.com/business/energy/more-german-companies-mull-relocation-due-high-energy-prices-survey-2024-08-01/ I've seen nothing to suggest energy prices in the EU are SO cheap that it's worth moving manufacturing TO Europe, and this is what annoys me the most. I've pointed this out before but they have an excellent report on the issues: https://commission.europa.eu/document/download/97e481fd-2dc3-412d-be4c-f152a8232961_en?filename=The+future+of+European+competitiveness+_+A+competitiveness+strategy+for+Europe.pdf Then they put out this Competitive Compass: https://commission.europa.eu/topics/eu-competitiveness/competitiveness-compass_en But tbh every week in the EU it seems like they are chasing after some other goal. This would be great, it would have been greater 10 years ago. Agreed
  • 0 Stimmen
    1 Beiträge
    11 Aufrufe
    Niemand hat geantwortet
  • 286 Stimmen
    46 Beiträge
    237 Aufrufe
    E
    NGL, it would be great if they could make it work and go fuck off into international waters. Unrelated, but did you know that if you put big enough holes in a ship it'll sink?
  • Building a personal archive of the web, the slow way

    Technology technology
    2
    1
    24 Stimmen
    2 Beiträge
    19 Aufrufe
    K
    Or just use Linkwarden or Karakeep (previously Hoarder)