OpenClaw가 내 인생을 바꾸고 있다
OpenClaw Is Changing My Life
요약
작성자는 OpenClaw를 코드를 실행하는 역할에서 벗어나 "슈퍼 매니저"가 될 수 있게 해주는 혁신적인 AI 에이전트라고 설명합니다. 이전 도구와 달리 OpenClaw는 채팅을 통해 개발부터 배포까지 전체 프로젝트를 독립적으로 처리할 수 있어, 작성자가 더 높은 수준의 제품 디자인 및 계획에 집중할 수 있게 합니다. 이러한 변화는 이전에는 도달할 수 없었던 기업가적 꿈을 실현 가능하게 만들었습니다.
댓글 (193)
I saw on The Verve that they partnered with the company that repeatedly disclosed security vulnerabilities to try to make skills more secure though which is interesting: https://openclaw.ai/blog/virustotal-partnership
I’m guessing most of that malware was really obvious, people just weren’t looking, so it’s probably found a lot. But I also suspect it’s essentially impossible to actually reliably find malware in LLM skills by using an LLM.
Honestly I'd rather die
What I really wonder, is who the heck is upvoting this slop on hackernews?
Maybe it's unfair to judge an author's current opinion by their past opinion - but since the piece is ultimately an opinion based on their own experience I'm going to take it along a giant pile of salt that the author's standards for the output of AI tools are vastly different than mine.
The last time I talked to someone about OpenClaw and how it is helping them, they told me it tells them what their calendar has for them today or auto-tweets for them (i.e., non-human spam). The first is as simple as checking your calendar, and the second is blatant spam.
Anyone found some good use cases beyond a better interface for AI code assistance?
Even so, I still believe the Rabbit has its merits. This does not conflict with my view that OpenClaw is what is truly useful to me.
Yes I think it is
The only software I've seen designed and implemented by OpenClaw is moltbook. And I think it is hard to come up with a bigger pile of crap than Moltbook.
If somebody can build something decent with OpenClaw, that would help add some credibility to the OpenClaw story.
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> Generally, I believe [Rabbit] R1 has the potential to change the world. This is a thought that seldom comes to my mind, as I have seen numerous new technologies and inventions. However, R1 is different; it’s not just another device to please a certain niche. It’s meticulously designed to serve one significant goal for all people: to improve lifestyle in the digital world.
> This has truly freed up my productivity, letting me pursue so many ideas I couldn’t move forward on before
If you're writing in a blog post that AI has changed your life and let you build so many amazing projects, you should link to the projects. Somehow 90% of these posts don't actually link to the amazing projects that their author is supposedly building with AI.
I've got 10+ years of coding experience, I am an AI advocate, but not vibe coding. AI is a great tool to help with the boring bits, using it to initialize files, help figure out various approaches, as a first pass code reviewer, helping with configuring, those things all work well.
But full-on replacing coders? It's not there yet. Will require an order of magnitude more improvement.
SHOW ME THE MONEY!!!
Maybe they don't feel like sharing yet another half working Javascript Sudoku Solver or yet another half working AI tool no one will ever use?
Probably they feel amazed about what they accomplished but they feel the public won't feel the same.
GPT-5.2 fixed my hanging WiFi driver: https://gist.github.com/lostmsu/a0cdd213676223fc7669726b3a24...
So, it appears that we have come a long way bubbling up through abstraction layers: assembly code -> high-level languages -> scripting -> prompting -> openclaw.
And me ruining my day fighting with a million hooks, specs and custom linters micromanaging Claude Code in the pursuit of beautiful code.
I'm not running OpenClaw, but I've given Claude its own email address and built a polling loop to check email & wake Claude up when I've sent it something. I'm finding a huge improvement from that. Working via email seems to change the Claude dynamic, it feels more like collaborating with a co-worker or freelancer. I can email Claude when I'm out of the house and away from my computer, and it has locked down access to use various tools so it can build some things in reply to my emails.
I've been looking into building out voice memos or an Eleven Labs setup as well, so I can talk to Claude while I'm out exercising, washing dishes etc. Voice memos will be relatively easy but I haven't yet got my head around how to integrate Eleven Labs and work with my local data & tools (I don't want a Claude that's running on Eleven Labs servers).
What made it so popular I think is that it made it easy to attach it to whatever "channel" you're comfortable with. The mac app comes with dictation, but unsure the amount of setup to get tts back.
If you delegate these tasks to OpenClaw, I am not really sure the result is exactly what you want to achieve and it works like you want it to.
> Then OpenClaw came along, and everything changed.
> After a few rounds of practice, I found that I could completely step away from the programming environment and handle an entire project’s development, testing, deployment, launch, and usage—all through chatting on my phone.
So, with Claude Code, you're stuck typing in a chat box. Now, with OpenClaw, you can type in a chat box on your phone? This is exciting and revolutionary.
Poe's law strikes... I can't tell if this is satire.
It's a racket never ends.
It is a constant lure products and tools have to create the feeling of sensemaking. People want (pejorative) tools that show visualizations or summaries, without thinking about the particular visual/summary artifact is useful, actionable or accurate!
And 99% those AI-created "amazing projects" are going to be dead or meaningless in due time, rather sooner than later. Wasted energy and water, not to mention the author's lifetime.
For the impatient, here's a transcript summary (from Gemini):
The speaker describes creating a "virtual employee" (dubbed a "replicant") running on a local server with unrestricted, authenticated access to a real productivity stack—including Gmail, Notion, Slack, and WhatsApp. Tasked with podcast production, the agent autonomously researched guests, "vibe coded" its own custom CRM to manage data, sent email invitations, and maintained a work log on a shared calendar. The experiment highlights the agent's ability to build its own internal tools to solve problems and interact with humans via email and LinkedIn without being detected as AI.
He ultimately concludes that for some roles, OpenClaw can do 90%+ of the work autonomously. Jason controversially mentions buying Macs to run Kimi 2.5 locally so they can save on costs. Others argue that hosting an open model on inference optimized hardware in the cloud is a better option, but doing so requires sharing potentially sensitive data.That would be really helpful.
Good luck hoping that none from the big money would try to stand between you and someone giving you a service (uber, airbnb, etsy, etc) and get rent from that.
Why isn't Claude doing all that for me, while I code? Why the obsession that we must use code generation, while other gabage activities would free me to do what I'm, on paper, paid to do?
It's less sexy of course, it doesn't have the promise of removing me in the end. But the reason, in the present state, is that IT admins would never accept for an llm to handle permissions, rotations, management would never accept an llm to report status or provide estimate. This is all "serious" work where we can't have all the errors llm create.
Dev isn't that bad, devs can clean slop and customers can deal with bugs.
So, OpenClaw has changed his life: It has accelerated the AI psychosis.
I don't know about this; or at least, in my experience, is not a what happens with good managers.
I guess best managers just develop the hunch and know when to do this and when to ask engineers for smallest details to potentially develop different solutions. You have to be technical enough to do this
> OpenClaw gave me the chance to become that super manager [...] A manager shouldn’t get bogged down in the specifics—they should focus on the higher-level, abstract work
These two propositions seem to be highly incompatible
It's the endgame.
1. It has a lot of files that it loads into it's context for each conversation, and it consistently updates them. Plus it stores and can reference each conversation. So there's a sense of continuity over time.
2. It connects to messaging services and other accounts of yours, so again it feels continuous. You can use it on your desktop and then pick up your phone and send it an iMessage.
3. It hooks into a lot of things, so it feels like it has more agency. You could send it a voice message over discord and say "hey remember that conversation about birds? Send an email to Steve and ask him what he thinks about it"
It feels more like a smart assistant that's always around than an app you open to ask questions to.
However, it's worth stressing how terrible the software actually is. Not a single thing I attempted to do worked correctly, important issues (like the discord integration having huge message delays and sometimes dropping messages) get closed because "sorry we have too many issues", and I really got the impression that the whole thing is just a vibe coded pile of garbage. And I don't like to be that critical about an open source project like this, but I think considering the level of hype and the dramatic claims that humans shouldn't be writing code anymore, I think it's worth being clear about.
Ended up deleting it and setting up something much simpler. I installed a little discord relay called kimaki, and that lets me interact with instances of opencode over discord when I want to. I also spent some time setting up persistent files and made sure the llm can update them, although only when I ask it to in this case. That's covered enough of what I liked from OpenClaw to satisfy me.
getting sick of this fluff stuff
What type of code? What types of tools? What sort of configuration? What messaging app? What projects?
It answers none of these questions.
I just give the link to those posts to my AI to read it, if it's not worth a human writing it, it's not worth a human reading it.
This is an AI generated post likely created by going to chatgpt.com and typing in "write a blogpost hyping up [thing] as the next technological revolution", like most tech blog content seems to be now. None of those things ever existed, the AI made them up to fulfill the request.
Is it really to escape from "getting bogged down in the specifics" and being able to "focus on the higher-level, abstract work", to quote OP's words? I thought naively that engineering always has been about dealing with the specifics and the joy of problem solving. My guess is that the drive is toward power. Which is rather natural, if you think about it.
Science and the academic world
I have always failed to understand the obsessive dream of many engineers to become managers. It seems not to be merely about an increase in revenue.
Is it to escape from "getting bogged down in the specifics" and being able to "focus on the higher-level, abstract work", to quote OP's words? I thought naively that engineering has always been about dealing with the specifics and the joy of problem-solving. My guess is that the drive is towards power, which is rather natural, if you think about it.
Science and the academic world suffer a comparable plague.
I think it's that there is only that much demand for solving really complex problems, and doing the same thing over and over is boring, so management is the only way forward for many people
A few years ago, when Agile was still the hot thing and companies had an Agile "facilitor" or manager for each dev team, the common career path I heard when talking to those people was: "I worked as a java/cobol/etc in the past, but it just didn't click with me. I'm more of a peoples person, you know, so project management is where I really do my best work!".
Yeah, right...
I tried using LLMs to help debug at different points, but they went in circles on bad ideas, even when I gave them what turned out to be a correct clue.
Root cause turned out to be that IPv6 wasn't enabled for Docker networking, but was enabled for the websites DNS. So people who connected over IPv6 were getting their IPs all converted to the same internal Docker IP before being handed to the per-IP throttling algorithm.
I spotted that there were no IPv6 IPs in the logs, but the LLMs missed that the key pattern was the absence of something expected, instead drawing wrong conclusions.
So no, I'm not about to turn OpenClaw loose on building anything at all complex.
I haven't been able to find a good use for myself yet. Almost everything I use an LLM for has some kind of hard human-in-the-loop factor that is as of yet inescapable -- but I also don't really use LLMs for things like "sort my email.". mostly entirely coding.
[1] https://reorx.com/blog/rabbit-r1-the-upgraded-replacement-fo...
Agents work but still mostly produce slop.
I hope at some point there will be a medical research into this hysteria.