Any conversation

Cooked really good chicken this weekend

looks like a cool place to start

, editing on mobile breaks the “280 chars / 10 lines max use and @mentionsand more”. Writing a new note doesn’t.

Thanks, fixed.

Really glad to be using Haskell for work - especially in today's climate with agentic coding. Our team uses containers to keep our development environment consistent across team members, though, and most agent sandbox approaches want to either offload your work fully to the cloud or they want to sandbox the agent harness process itself. We're not ready for full cloud based development (yet?) and sandboxing just the agent doesn't work for us when the agent needs to run docker.

... because letting the agent run docker gives them a too-easy escape hatch from their sandbox. So we're currently stuck with using VMs. This turns out to be tricky but seems do-able. My current approach is to provision a VM image and use Incus for the execution. My main goal is to keep my current workflow of local/non-agent dev working seamlessly and share the source with the VM/agent.

This means sharing my working dirs with the agent VM but overlaying artifact dirs from VM-owned block devices so we don't take too big of an IO perf hit. I also don't want the agent to be able to git push so that means we need some quirky git config to rewrite origin paths and thread through some agent specific PATs ("thanks" GitHub) for read-only repo access. These ALSO need to be threaded through to the development containers - they need to clone private repos.

... in the end, this seems to work but I haven't lived with it for long. There are still some quality of life issues to work out, but I think it'll work out. At this point, I've removed all coding agents from my host - and that's nice.

Curious, why does using Haskell make a difference here?

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It's tangential to the sandboxing topic, really. I started the first post with a broader intent in mind and then elaborated on the sandboxing setup I'm working on. For AI-assisted coding, though, it's nice because Haskell provides a lot of feedback earlier in the development process compared to lots of other languages. It tends to work once it compiles (obviously not all the time).

guess who found some really cool book in my house!!! me! it's called the secret teachings of all ages.. should I give this a SHOT!!?!??

Do you walk your neighborhood? Do you sit on your front porch and say hello to passersby?

Togo sofas remind me of Heidi Klums worm costume

thinking on deploying excalidraw on my homeserver, so I can store drawings without bothering with export/import. Yes, excalidraw+ for $7/mo; but nowadays I pay only one sub - for Claude; everything else is personal software.

Well, done, Claude did while I drove a car. It even added save/open file from the server (stored in SQLite). Deployed on my homelab server.

I find myself building bespoke tooling for my own and workflows these days, not only because of the obvious reason of software being so much cheaper to build, but also because there are SO MANY options for solving any given problem that it feels impossible to evaluate all of them. If it's not a crucial piece of tech for a work problem then it often feels like paving my own way is both cheaper mentally (kind of amazing that's true these days) and probably a better fit.

..then of course I have to contend with - "Is this going to be a maintenance nightmare in the future?" and then I still usually conclude "no, the maintenance will be aided by the same approach that the construction was". It's interesting how dramatically and quickly the scales have changed in this equation - and for such a wide range of software.

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For example, I am looking for a coding agent coordinator with a particular (but not all that insane) set of requirements. I used both Claude and Perplexity to show me options and break them down by fit against my requirements. I got completely different lists! No overlap! And no perfect fits.

It will become increasingly harder to find niche markets for software when those people can just build it themselves exactly how they want it. In the end, people want to accomplish tasks, and the AI is going to be building the software on-the-fly exactly for that task, why do we need generic software that may or may not be a fit?

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Yeah. It makes me think that protocols for exchanging data between apps will become even more important in that landscape. But maybe, not - maybe each exchange is another bespoke AI-driven implementation?

Protocols, infrastructure, containers, those kinds of things. I was actually playing around with an idea for a minimal markup language + runtime that can be utilized by AI to spin up apps more easily, and brainstorming it with ChatGPT, I have a feeling something like that will appear soon to complement MCP.

Hi ha dies que em demano si no hauria d'escriure en català aquí, per tal que hi hagi més diversitat lingüística visible. Al cap i a la fi, avui en dia les traduccions són econòmiques. La traducció automàtica pot ajudar a preservar la diversitat lingüística del món.

There are days when I wonder if I shouldn't write in Catalan here, so that there is more visible linguistic diversity. After all, translations are cheap these days. Machine translation can help preserve the world's linguistic diversity.

Went to the summer house to watch the but it was cloudy so we missed it. But the kids are asleep so guess I'll light a fire and crack a beer instead. Woe is me!

Denshattack! - easily gets my OST of the year vote. Absolute pleasure to both listen to and play.

Got a bunch of things to do, hate procrastination, any advice is welcome

Make a list, then tackle each thing individually until it's done

Gotta give it try, by now making a list is like the top of the list

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Determine what matters most and make a list of the no more than 7 things. Do one thing well at a time, top down. Reprioritise as you learn more. Notes:

If you half-arse a task and decide that'll do, it's evidence it wasn't the right priority. Learn.
Any sort of productivity, multi-tasking, app, solution type thing is a scam or a money grab and isn't needed.
People tend to remember 7 things well, but struggle with longer lists and particularly fail to remember things in the middle.

A “small” visit to Lotte, and $239 later, we are enjoying rambutans, sticky rice with tuna wrapped in seaweed, and wife struggles to make room for the rest of the goodies.

a few fixes this morning, some actions in your account are now gated behind email(or password) confirmations, like "delete account" and "enable password" - this is to keep the account safe.

ive been obsessed with deltarune this year, its probably the best indie rpg ever made. (and its only 5/7 chapters out)

I've been thinking I wanna wait until it's all out, but maybe I'm missing out by not diving in now?

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i dont mind the waits, cause ive been really liking the theorizing part of it too, cause the community is super active in between chapters and theres soo much lore and thematic connections to dicuss.

Is it any better than Undertale? I played Undertale back when it came out, but despite all the hype I thought it was just ok. Nothing really that would make me go out of my way to play a sequel.

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yes its much better than undertale, from a gameplay and design perspective. undertale had good story and characters, but deltarune is just that + better production value

For the first time in a couple of year, I wove a rattan basket today, and the best part is it only took two hours when I was expecting it to take all day

okay, writing from emacs, textlog.el -

Beautiful, thanks for this, fellow emacs friend

This seems reasonable and motivates my bias. But I don't know what to believe anymore.

Overvalued, maybe. Extremely valuable, yes, though.

For sure. We're well past the point of being able to reasonably claim that the tools have no practical use. But I share the article's skepticism that LLM-based AI will "produce a fully automated drop-in replacement for most knowledge workers". Which it at this point has to in order to justify these companies' stupendous valuations.

Tomorrow no but there will always be the “hope” which is enough for the next 20 years before giving up. Which meanwhile would be replacing larger and larger chunks of the workforce so it won’t really matter, we’ll be adjusting our lives around it as well so we meet in the middle.

Tesla has been overvalued for over a decade with the promise of “fully autonomous cars” and it’s still not losing its value, despite not meeting that (and probably never will, as the computation necessary to achieve it is bounded by physics).

That's a different situation. Tesla's a public company whose valuation is driven by the market, which has the right to be irrational. My understanding is that the AI buildout is financed such that the companies need to turn a profit by ~2030 or else they drown in capital costs.

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