Interesting. I have been doing a simple man's version of multiple git clone folders and 'docker compose -p'. Making that smoother is attractive, esp if can be made opaque for our more junior teammates.
On one end, I have been curious about getting multiple agents to work on the same branch, but realized I can just wait till they do that natively.
More so, all this feels like a dead end. I think OpenAI and github are right to push to remote development, so these don't matter. Eg, mark up a PR or branch in GitHub, and come back as necessary, and do it all from my phone. If I want an IDE, it can be remote ssh.
shykes · 15h ago
Hi all, we open sourced this live on stage today at AI Engineer World Fair (great event by the way).
Very cool that this runs as a MCP server, very cool demo
dboreham · 13h ago
Seems odd that the LLM is so clever it can write programs to drive any API.
But so dumb that it needs a new special purpose protocol proxy to access anything behind such an API...
sharifhsn · 12h ago
It’s about resilience. LLMs are prone to hallucinations. Although they can be very intelligent, they don’t have 100% correct output unaided. The protocol helps increase the resilience of the output so that there’s more of a guarantee that the LLM will stay within the lines you’ve drawn around it.
beardedwizard · 9h ago
That's really not true. Context is one strategy to keep a models output constrained, and tool calling allows dynamic updates to context. Mcp is a convenience layer around tool calls and the systems they integrate with
nsonha · 11m ago
> LLM is so clever it can write programs to drive any API
It is not, name one software that has a LLM generating code on the fly to call APIs. Why do people have this delusion?
rahimnathwani · 15h ago
I'm curious: what do containers add over and above whatever you'd get using worktrees on their own?
On one end, I have been curious about getting multiple agents to work on the same branch, but realized I can just wait till they do that natively.
More so, all this feels like a dead end. I think OpenAI and github are right to push to remote development, so these don't matter. Eg, mark up a PR or branch in GitHub, and come back as necessary, and do it all from my phone. If I want an IDE, it can be remote ssh.
If you're interested, here's the keynote recording: https://www.youtube.com/live/U-fMsbY-kHY?t=3400s
It is not, name one software that has a LLM generating code on the fly to call APIs. Why do people have this delusion?
container-use combines both forms of isolation: containers and git worktrees in a seamless system that agents can use to get work done.