Turn the car on. Shift in Neutral. Gas to the bottom.
This is how my head feels most of the time.
Any conversation
โ โ โ โ โ โ โ โ โ โ โ โ โ โ โขโฃโฃโ โ โข โ โขนโขณโขโ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ
โ โ โ โ โ โ โ โ โ โ โกคโ โกโ โฃตโ โ โ โกโขธโ โขธโ โกโ โ โ โ โ โขโกดโ โ โกงโฃโฃโกโ โ โ โ โ โ โ โ โ โ โ
โ โ โ โ โ โ โ โ โ โกฐโ โ โขฐโ โ โกโ โ โขฐโ โกโ โกโกโกโ โ โ โกฐโกฑโกโ โกโ โกโ โขโ โ โ คโกโ โ โ โ โ โ โ
โ โ โ โ โ โ โขโกโขโ โขโ โ โขโ โ ธโกโ โ โกโกโ โกโ โกโ โ โกฐโขกโกฑโ โกโขโ โขโขดโ โ โ โ โฃโกโกโ โ โ โ โ
โ โ โ โ โ โ โกโ โ นโฃฆโ โขโ โ โกโ โ ฑโ โ โขฐโขโ โขโขธโกโ โข โขโขงโ โกฐโขโ โข โกพโ โ โ โก โ โก โ โ โฃโ โ โ
ๆ
ไบ็ๅผๅคดๆปๆฏ่ฟๆ ท๏ผ้้ขๅ
ถไผ๏ผ็ไธๅ้ฒใๆ
ไบ็็ปๅฑๆปๆฏ่ฟๆ ท๏ผ่ฑๅผไธคๆต๏ผๅคฉๅไธๆนใ๏ผby ๅผ ๅไฝณ ใไปไฝ ็ๅ
จไธ็่ทฏ่ฟใ๏ผ
Stories always begin this way: a chance encounter, completely unexpected. Stories always end this way: two flowers bloom, then drift apart. (by Zhang Jiajia, I Belonged to You)
Love the flat option for threads @stagasprofilefollow
creative technologist
creator of textlog
Edit: didnโt realise that was the old style. Hahaha
creative technologist
creator of textlog
Edit: didnโt realise that was the old style. HahahaItโs using the
/firehose endpoint. Itโs an SSE endpoint publishing everything latest. Though I meant it to be used server-side, since itโs heavily rate-limited โ up to 3 conns under the same network, but I canโt control how clients decide to use it so.. ยฏ\_(ใ)_/ยฏOrdered JBL Charge 6, waiting for delivery today. Will mount into my bike and will listen to music while commuting 25km to the office. I'm a victim of marketing, seeing an ad, buying stuff.
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).