I'm working on this command-center project. Human describes the mission. Agents define the mission, breakdown and come up with a plan, and drive it.
Any conversation
๐๐ฎ๐ฐ ๐ ๐๐ฎ๐ฐ ๐ช๐ฏ ยท๐๐ฎ๐ฆ๐๐ฆ๐ ๐๐ฆ๐๐ฉ๐ ๐๐ฆ๐ ๐ข๐ฐ๐๐ง๐ฏ๐: ๐ฃ๐จ๐ ๐ฉ ๐๐ซ๐ค ยท๐ฆ๐๐๐ค๐ฆ๐ ๐ฏ ๐ฉ ๐๐ฒ (๐ฎ๐จ๐๐ฆ๐) ๐๐จ๐๐๐ผ๐๐ฑ, ๐ฏ๐ฌ ๐ ๐๐ต ๐จ ๐๐ฐ๐ ๐ฎ๐ด๐๐. ๐ค๐ณ๐๐ค๐ฐ ๐ฏ ๐๐ท๐๐ฐ ๐ฆ๐ฏ ๐๐ฆ๐ ๐ท๐๐ณ๐ฅ๐ฏ๐ฉ๐ค ๐ข๐จ๐๐ผ.
Three for three on British dishes this weekend: had a full English and a pie (rabbit) yesterday, now to do a beef roast. Lovely and cozy in this autumnal weather.
my wife is concerned that my job search will not be fruitful due to my use of ai to build and orchestrate my json and latex resume and cover letter build pipeline. it has not changed much since I initially built it almost 20 years ago. there are only so many ways that the core metadata can be assembled for presentation, yes?
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.
