Why was the math textbook sad? Because it had too many problems.
Any conversation
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).
some people do absolutely improve their work output (either amount or quality) with AI, but most people just resign all their critical thinking to the black box.
if you cannot function at YOUR WORKPLACE without ai, chances are that, 99% of the time, you never was supposed to work there in the first place.
My friend won 2nd place in the pc demo competition at Evoke in Kรถln this weekend, with his ascii-inspired demo Glyphnosis. Really happy for him! ๐ฅ
na, jรณ, az egyik legyen Windows 11-es, a mรกsik Windows 10-es, csak a tudomรกnyos kรญvรกncsisรกg kedvรฉรฉrt, elvileg az idรฉn mรฉg ki tud tartani a Windows 10 komolyabb problรฉma nรฉlkรผl
well, one should be Windows 11, the other Windows 10, just for scientific curiosity, in theory Windows 10 can still last this year without any serious problems
In an attempt to put myself out there, I have started a blog to write about my experience as a software engineer. Feel free to check out my first article :)