We are building an infrastructure coop for NGOs with a wide range of open-source tooling. What we are working on is an agentic tool to build tooling on NixOS. So, for best performance, we split up the agentic interface into a deterministic MCP to generate flakes from templates, build contracts to connect different tools, etc. But there are some tasks where AI is perfect for the job, so it goes down to the model flow to extract tooling from Docker Compose files, read errors to come up with solutions, etc. I believe this approach is both economical and logical to follow. But as I mentioned, we are in the alpha stage, so we will see how it comes out.

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