Oh I did read the README, but still have the question: while it does save on cost, latency and complexity, the tradeoff is that the agents can't run whatever they want in a sandbox, which would make them less capable too.
This is very cool, but I'm having some trouble understanding the use cases.
Is this mostly just for codemode where the MCP calls instead go through a Monty function call? Is it to do some quick maths or pre/post-processing to answer queries? Or maybe to implement CaMeL?
It feels like the power of terminal agents is partly because they can access the network/filesystem, and so sandboxed containers are a natural extension?
This is very cool, but I'm having some trouble understanding the use cases.
Is this mostly just for codemode where the MCP calls instead go through a Monty function call? Is it to do some quick maths or pre/post-processing to answer queries? Or maybe to implement CaMeL?
It feels like the power of terminal agents is partly because they can access the network/filesystem, and so sandboxed containers are a natural extension?
In 2021, between jobs, I did some light data analysis and visualisation on the topics that Matt Levine writes about in Money Stuff and enjoyed seeing some trends, so I blogged about it!
I also emailed it to Matt, who included it in his "Things Happen" section!
Haha, as I read more words of your comment, I got more sure that we worked at the same place. Totally agree, remote devboxes are really great these days!
However, I also feel like our setup was well suited to remote-first dev anyway (eg. syncing of auto-generated files being a pain for local dev).
Related: A few months ago, I wrote some code to analyze the distribution of topics in Money Stuff over time and found the results interesting: https://blog.vghaisas.com/matt-levine-topics/
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