1,878 karma · joined July 31, 2010
Relapsing/remitting tech bro. Hire me before I quit the industry again: https://redfloatplane.lol
I really like this idea. I do a lot of kubernetes ops with workloads I'm unfamiliar with (and not directly responsible for) and often give claude read access in order to help me debug things, including with things like a grafana skill in order to access the same monitoring tools humans have. It's saved me dozens of hours in the last months - and my job is significantly less frustrating now.
Your method of creating ansible playbooks makes _tons_ of sense for this kind of work. I typically create documentation (with claude) for things after I've worked through them (with claude) but playbooks is a very, very clever move.
I would say something similar but as an auditable, controllable kubernetes operator would be pretty welcome.
As I said in my comment, no shade for writing the code with Claude. I do it too, every day.
I wasn’t “irked” by the readme, and I did read it. But it didn’t give me a sense that you had put in “time and effort” because it felt deeply LLM-authored, and my comment was trying to explore that and how it made me feel. I had little meaningful data on whether you put in that effort because the readme - the only thing I could really judge the project by - sounded vibe coded too. And if I can’t tell if there has been care put into something like the readme how can I tell if there’s been care put into any part of the project? If there has and if that matters - say, I put care into this and that’s why I’m doing a show HN about it - then it should be evident and not hidden behind a wall of LLM-speak! Or at least; that’s what I think. As I said in a sibling comment, maybe I’m already a dinosaur and this entire topic won’t matter in a few years anyway.
Edit: I see you, making edits to the readme to make it sound more human-written since I commented ;) https://github.com/gavrielc/nanoclaw/commit/40d41542d2f335a0...
I actually went to college for game development but never really built any games for myself because the time investment was just too large and the payoff too small. I really think that agent-driven development is the way for games, especially small games and to prototype gameplay mechanics. You no longer have to worry about how to factor your codebase when you just want to see if some idea works. This is especially the case when you put yourself in the constraints of a little virtual machine where you don't have to care much about assets, which are now definitely the bottleneck for this kind of thing.
These games are all unfinished, riddled with bugs, and almost none of them are actually fun (I like Traffic and Shapeship the most) but the thing is that I absolutely loved making them in a way that I haven't enjoyed making anything on a computer in a long while. It was so exciting to see doors that I felt were long since closed to me be blown wide open by agentic development.
But it's a game of whackamole really, and already I'm sure I'm reading and engaging with some double-digit percentage of entirely AI-written text without realising it.
> Section 3.3:
> Besides, since we use the moderately capable DeepSeek-Coder-V2-Lite to filter simple problems, the Pass@1 scores of top models on popular languages are relatively low. However, these models perform significantly better on low-resource languages. This indicates that the performance gap between models of different sizes is more pronounced on low-resource languages, likely because DeepSeek-Coder-V2-Lite struggles to filter out simple problems in these scenarios due to its limited capability in handling low-resource languages.
It's also now a little bit old, as with every AI paper the second they are published, so I'd be curious to see a newer version.
But, I would agree in general that Elixir makes a lot of sense for agent-driven development. Hot code reloading and "let it crash" are useful traits in that regard, I think
It's interesting to see people creating and 'selling' agent skills. This one asks for donations, but I was expecting to see a stripe link and 'download for 4 dollars, yours forever' (personally I think that would convert better...)
I wonder if there will be full-blown skill marketplaces soon. Would that be a way for some experts to recoup some (presumably very small portion) of the income they might lose due to generative AI market effects?
Looks to me like it's essentially the same sandbox that runs Claude Code on the Web, but running locally. The allowlist looks like it's the same - mostly just package managers.
For instance I use claude code to classify my expenses (given a bank statement CSV) for VAT reporting, and fill in the spreadsheet that my accountant sends me. Or for noting down line items for invoices and then generating those invoices at the end of the month. Or even booking a tennis court at a good time given which ones are available (some of the local ones are north/south facing which is a killer in the evening). All these tasks could be done at least as well outside the terminal, but the actual capability exists - and can only exist - on my computer alone.
I hope this will interact well with CLAUDE.md and .claude/skills and so forth. I have those files and skills scattered all over my filesystem, so I only have to write the background information for things once. I especially like having claude create CLIs and skills to use those CLIs. Now I only need to know what can be done, rather than how to do it - the “how” is now “ask Claude”.
It would be nice to see Cowork support them! (Edit: I see that the article mentions you can use your existing 'connectors' - MCP servers I believe - and that it comes with some skills. I haven't got access yet so I can't say if it can also use my existing skills on my filesystem…)
(Follow-up edit: it seems that while you can mount your whole filesystem and so forth in order to use your local skills, it uses a sandboxed shell, so your local commands (for example, tennis-club-cli) aren't available. It seems like the same environment that runs Claude Code on the Web. This limits the use for the moment, in my opinion. Though it certainly makes it a lot safer...)
Can you elaborate on this? I watch an unhealthy amount of University Challenge and I assumed that the vast majority of contestants would use flash cards as a trivia retention tool. Most people I've met who need to rely on large amounts of accurate but relatively dispersed knowledge (law students, say, or specific historical professions) use flash cards in one way or another. It surprises me greatly that 'professional quizzers' wouldn't. Perhaps _some_ of them wouldn't - I'm sure as with anything there are some who are preternaturally excellent.
And yeah - I was thinking that actually power efficiency isn’t really a massive deal if you have some kind of thin client setup. The LLM nodes can be at millraces or some other power dense locations, and then the clients are basically 5W displays with an RF transceiver and a keyboard…
An entertaining thought experiment :)
I'll update the post to reflect the reality, thanks for calling it out.
I completely agree with your comment. I think the ability to review code, architecture, abstractions matters more than the actual writing of the code - in fact this has really always been the case, it's just clearer now that everyone has a lackey to do the typing for them.