A credit union wants to get their own data out of a vendor's online system. Vendor wants $160,000. I wrote a script with to download the data just as though a user would. It's going to run for about 6 weeks to download around 250k records and 70GB of images.
Any conversation
you could split to buckets like alphanumerically and parallelize it if you don't want to wait that long. Probably need to launch a few instances but still cheaper lol.
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?
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).
Any shows recommendations? I have no idea what is worth watching (since I rarely watch shows) so now I’m watching The Mentalist from 2008. They had flip phones then.
(Opinion) People don’t like generative AI because it made the {insert creativity} too easy. Saw the HN post on ‘AI music banned from top 40 chart in Australia’ and people had very strong opinions in both directions.
The hot take: If you’re ok with someone’s creativity being outsourced to others, then you should be ok with AI doing the same.
If “AI made this and I call it mine” is bad but “someone overseas on fivver made this and I call it mine” and it’s suddenly ok, time to self reflect.
…
My hot take: from the moment you use technology, be it an instrument, a synthesizer, a DAW, and now AI, it is still your idea, your effort, your time spent, and that makes it yours. Others can do the same if they choose. The same way someone chooses a classic guitar over a synthesizer, one can choose an AI over (insert ancient way of doing things).
…
You’re rolling the dice whenever you are searching for a sample or a preset in a synthesizer. Eventually it’s what “sounds good”, so still the effort is your judgement and the time spent finding that “dice roll” that sounded well.
I am not a musician, so I lack the jargon to properly explain what I mean.
I used AI for creative writing (nothing too fancy, TTRPG). There, the broader the dice roll, the more generic and uninteresting the results. Slop, if you will. It was surprisingly good to build up on ideas I had however.
I imagine muisic also has building blocks. Melodies, instruments, mixing, etc. AI can perhaps be used in a similar fashion there.
I heard a perspective I sort of like: if AI is a tool then acceptable AI use is, more or less, defined as "when my audience no longer notices or cares". It's dynamic like that. Bad photoshop is detectable and annoying, so are overusing presets. Your artistry needs to expand to meet the tool.
I don't know if I 100% like that or agree. At the same time, it's a pretty straightforward line, a practical take.
taking a week off to stave off burnout, catch up on some reading and writing and small projects, and finish Ocarina of Time. also will make soup
I'm doing experiments with short attention-span students and code. Starting with python, and, oddly, now working in BASIC. As a C programmer of 40+ years, I find this aesthetically and pedagogically displeasing, but I am delighted to see them getting fully absorbed in writing
130 PRINT "You have been eaten by a bear!" : GOTO 900. Yes there is spaghetti, but it's their spaghetti and they seem to take delight in debugging it. Python will come later. Routines in Claude Desktop create Claude Code sessions, so hourly routine litters in iPhone' Claude.app Code tab. Screw it, built my local version of AWS StepFunctions - Stepper - and run skills as state machines there.