371–380 of 537 posts
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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 think LLMs have a hard time with large code bases (obviously so do devs). A giant monorepo would be a bad fit for an LLM IMO.
Regardless of how you isolate the OpenClaw instance (Mac Mini, VPS, whatever) - if it’s allowed to browse the web for answers then there’s the very real risk of prompt injection inserting malicious code into the project.
If you are personally reviewing every line of code that it generates you can mitigate that, but I’d wager none of these “super manager” users are doing that.
This is quite a low quality post. There is nothing of substance here. Just hot air. 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.
Given that the authors previous post was about how the Rabbit R1 has “the potential to change the world”, I don’t expect much in the way of critical assessment here.
Besides that blog post obviously being written by AI, can someone here confirm how credible the hype about openclaw is? I'm already very proficient at using Claude Code anywhere, so what would i gain really with openclaw?
I played with it extensively for three days. I think there are a few things it does that people are finding interesting: 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 conti…
Ah, so it's a device for irritating Steve, got it.
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…
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Quite literally, the previous post on this blog is from 2024 talking about what a revolution the Rabbit R1 is. We all know how that turned out. This is why I give every new trendy developer tool a few months to see if it’s really a good thing or just hype.
The jokes write themselves. Now you can have both, Openclaw comes preloaded on the R1. https://www.rabbit.tech/rabbit-r1
Since many posts mention lack of substance, providing a link to the All-In Podcast from last week in which they discuss Clawdbot (prior to re-brand). https://www.youtube.com/watch?v=gXY1kx7zlkk&t=2754s 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 produ…
(At some point he seems to have gone from professionally-wrong-about-everything blogger to magical-podcast-thought-leader. I have no idea how this happened.)
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There's got to be some quantity of astroturfing going on, given the players and the dollar amounts at stake.
Some ? I'd be shocked if it's less than 70% of everything AI-related in here. For example a lot of pro-OpenAI astroturfing really wanted you to know that 5.3 scored better than opus on terminal-bench 2.0 this week, and a lot of Anthropic astroturfing likes to claim that all your issues with it will simply go away as soon as you switch to a $200/month plan (like you can't try Opus in the cheaper one and realise it's d…
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 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 before, with maybe 12 hours of Claude code I’m almost there (some nagging issues… maybe another hour).
And I had written some home automation stuff back with Python 2.x a decade ago; it was never worth the time to refamiliarize myself with in order to update, which led to periodic annoyances. 20 minutes, and it’s updated to all the latest Python 3.x and modern modules.
For me at least, the difference between weeks and days, days and hours, and hours and minutes has allowed me to do things I just couldn’t justify investing time in before. Which makes me happy!
So maybe some folks are “pretending”, or maybe the benefits just aren’t where you’re expecting to see them?