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OpenClaw is changing my life

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Re: OpenClaw is changing my life

#381

Post by habinero »

veganmosfet wrote: post #119
habinero wrote: post #103

Earlier quoted context omitted.

> Adding tags like "Warning: Untrusted content" can help It cannot. This is the security equivalent of telling it to not make mistakes. > Restrict downstream tool usage and permissions for each agentic use case Reasonable, but you have to actually do this and not screw it up. > Harden the system according to state of the art security "Draw the rest of the owl" You're better off treating the system as fundamentally un…

Agree for a general AI assistant, which has the same permissions and access as the assisted human => Disaster. I experimented with OpenClaw and it has a lot of issues. The best: prompt injection attacks are "out of scope" from the security policy == user's problem. However, I found the latest models to have much better safety and instruction following capabilities. Combined with other security best practices, this lo…

> I found the latest models to have much better safety and instruction following capabilities. Combined with other security best practices, this lowers the risk.

It does not. Security theater like that only makes you feel safer and therefore complacent.

As the old saying goes, "Don't worry, men! They can't possibly hit us from this dist--"

If you wanna yolo, it's fine. Accept that it's insecure and unsecurable and yolo from there.

Re: OpenClaw is changing my life

#382

Post by smoe »

yusufnb wrote: post #329
aeldidi wrote: post #298

There's an odd trend with these sorts of posts where the author claims to have had some transformative change in their workflow brought upon by LLM coding tools, but also seemingly has nothing to show for it. To me, using the most recent ChatGPT Codex (5.3 on "Extra High" reasoning), it's incredibly obvious that while these tools are surprisingly good at doing repetitive or locally-scoped tasks, they immediately fall…

At my work I interview a lot of fresh grads and interns. I have been doing that consistently for last 4 years. During the interviews I always ask the candidates to show and tell, share their screen and talk about their projects and work at school and other internships. Since last few months, I have seen a notable difference in the quality and extent of projects these students have been able to accomplish. Every proje…

In my opinion, it has always been the “easy” part of development to make a thing work once. The hard thing is to make a thousand things work together over time with constantly changing requirements, budgets, teams, and org structures.

For the former, greenfield projects, LLMs are easily a 10x productivity improvement. For the latter, it gets a lot more nuanced. Still amazingly useful in my opinion, just not the hands off experience that building from scratch can be now.

Re: OpenClaw is changing my life

#383

Post by piskov »

aeldidi wrote: post #298

There's an odd trend with these sorts of posts where the author claims to have had some transformative change in their workflow brought upon by LLM coding tools, but also seemingly has nothing to show for it. To me, using the most recent ChatGPT Codex (5.3 on "Extra High" reasoning), it's incredibly obvious that while these tools are surprisingly good at doing repetitive or locally-scoped tasks, they immediately fall…

The pattern matching and absence or real thinking is still strong.

Tried to move some excel generation logic from epplus to closedxml library.

ClosedXml has basically the same API so the conversion was successful. Not a one-shot but relatively easy with a few manual edits.

But closedxml has no batch operations (like apply style to the entire column): the api is there but internal implementation is on cell after cell basis. So if you have 10k rows and 50 columns every style update is a slow operation.

Naturally, told all about this to codex 5.3 max thinking level. The fucker still succumbed to range updates here and there.

Told it explicitly to make a style cache and reuse styles on cells on same y axis.

5-6 attempts — fucker still tried ranges here and there. Because that is what is usually done.

Not here yet. Maybe in a year. Maybe never.

Re: OpenClaw is changing my life

#384

Post by mbfg »

daliusd wrote: post #316
aeldidi wrote: post #298

There's an odd trend with these sorts of posts where the author claims to have had some transformative change in their workflow brought upon by LLM coding tools, but also seemingly has nothing to show for it. To me, using the most recent ChatGPT Codex (5.3 on "Extra High" reasoning), it's incredibly obvious that while these tools are surprisingly good at doing repetitive or locally-scoped tasks, they immediately fall…

Maybe it is language specific? Maybe LLMs have a lot of good JavaScript/TypeScript samples for training and it works for those devs (e.g. me). I heard that Scala devs have problems with LLMs writing code too. I am puzzled by good devs not managing to get LLM work for them.

I definitely think it's language specific. My history may deceive me here, but i believe that LLMs are infinitely better at pumping out python scripts than java. Now i have much, much more experience with java than python, so maybe it's just a case of what you don't know.... However, The tools it writes in python just work for me, and i can incrementally improve them and the tools get rationally better and more aligned with what i want.

I then ask it to do the same thing in java, and it spends a half hour trying to do the same job and gets caught in some bit of trivia around how to convert html escape characters, for instance, s.replace("", ">").replace("\"").replace("""); as an example and endlessly compiles and fails over and over again, never able to figure out what it has done wrong, nor decides to give up on the minutia and continue with the more important parts.

Re: OpenClaw is changing my life

#385

Post by kaydub »

roywiggins wrote: post #194
throwaw12 wrote: post #169

Earlier quoted context omitted.

> only for the first ~10kloc. After that the AI, no matter how well you try to prompt it, will start to destroy existing features accidentally I am using them in projects with >100kloc, this is not my experience. at the moment, I am babysitting for any kloc, but I am sure they will get better and better.

It's fine at adding features on a non-vibecoded 100kloc codebase that you somewhat understand. It's when you're vibecoding from scratch that things tend to spin out at a certain point. I am sure there are ways to get around this sort of wall, but I do think it's currently a thing.

You just have another agent/session/context refactor as you go.

I built a skribbl.io clone to use at work. We like to play eod on Friday as a happy hour and when we would play skribbl.io we would try to get screencaps of the stupid images we were drawing but sometimes we would forget. So I said I'd use claude to build our own skribbl.io that would save the images.

I was definitely surprised that claude threaded the needle on the task pretty easily, pretty much single shot. Then I continued adding features until I had near parity. Then I added the replay feature. After all that I looked at the codebase... pretty much a single big file. It worked though, so we played it for the time being.

I wanted to fix some bugs and add more features, so I checked out a branch and had an agent refactor first. I'd have a couple context/sessions open and I'd one just review, the other refactored, and sometimes I'd throw a third context/session in there that would just write and run tests.

The LLM will build things poorly if you let it, but it's easy to prompt it another way and even if you fail that and back yourself into a corner, it's easy to get the agents to refactor.

It's just like writing tests, the llms are great at writing shitty useless tests, but you can be specific with your prompt and in addition use another agent/context/session to review and find shitty tests and tell you why they're shitty or look for missing tests, basically keep doing a review, then feed the review into the agent writing the tests.

Re: OpenClaw is changing my life

#386

Post by nickzana »

I haven't tried OpenClaw, but I gave Claude Code an account on my Forgejo instance. I found issues and PRs to be a very good level of abstraction for interfacing with the new agent teams feature, as well as bringing the "anytime, anywhere, low activation energy" benefits this article talks about.

I let it run in a VM on my desktop and I can check on its progress and provide feedback any time. Only took a few iterations of telling it to tweak its workflow to land on something very productive. Doesn't work for everything but it covers a lot of my work.

Re: OpenClaw is changing my life

#387

Post by chasd00 »

christophilus wrote: post #347
TheAceOfHearts wrote: post #317

Earlier quoted context omitted.

For me the biggest benefit from using LLMs is that I feel way more motivated to try new tools because I don't have to worry about the initial setup. I'd previously encountered tools that seemed interesting, but as soon as I tried getting it to run I found myself going down an infinite debugging hole. With an LLM I can usually explain my system's constraints and the best models will give me a working setup from which…

Same. This weekend, I built a Flutter app and a Wails app just to compare the two. Would have never done either on my own due to the up front boilerplate— and not knowing (nor really wishing to know) Dart.

I did the same thing but with react and supabase. I wouldn’t have done this on my own because of the react drudgery.

Re: OpenClaw is changing my life

#388

Post by arwhatever »

brookst wrote: post #380
aeldidi wrote: post #298

There's an odd trend with these sorts of posts where the author claims to have had some transformative change in their workflow brought upon by LLM coding tools, but also seemingly has nothing to show for it. To me, using the most recent ChatGPT Codex (5.3 on "Extra High" reasoning), it's incredibly obvious that while these tools are surprisingly good at doing repetitive or locally-scoped tasks, they immediately fall…

I can’t speak for anyone else, but Claude Code has been transformative for me. I can’t say it’s led to shipping “high quality projects”, but it has let me accomplish things I just wouldn’t have had time for previously. I’ve been wanting to develop a plastic -> silicone -> plaster -> clay mold making process for years, but it’s complex and mold making is both art and science. It would have been hundreds of hours befor…

I’m trying to pivot my career from web/business app dev entirely into embedded, despite the steep learning curve, many new frameworks and tool chains, because I now have a full-time infinitely patient tutor, and I dare say it’s off to a pretty good start so far.

Re: OpenClaw is changing my life

#390

Post by msikora »

wrs wrote: post #215
spoaceman7777 wrote: post #164

This was incredibly vague and a waste of time. What type of code? What types of tools? What sort of configuration? What messaging app? What projects? It answers none of these questions.

Well, note that the previous post was about how great the Rabbit R1 is…

Yeah, once I saw that I was like "Oh, so OpenClaw is probably going to be a dud too" :)
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