The deployment collapses to a single Postgres instance where pg_dump backs up forge metadata, git objects, and user data together, and replicas handle read scaling for the web UI without NFS mounts or a Gitaly-style RPC layer. The path there is a Forgejo fork replacing modules/git with a package that queries Postgres, where Repository holds a database connection and repo_id instead of a filesystem path and Commit, Tree, Blob become thin wrappers around query results.
A note on forkingA practical detail that matters is the process that creates child sandboxes must itself be fork-safe. If you are running an async runtime, forking from a multithreaded process is inherently unsafe because child processes inherit locked mutexes and can corrupt state. The solution is a fork server pattern where you fork a single-threaded launcher process before starting the async runtime, then have the async runtime communicate with the launcher over a Unix socket. The launcher creates children, entirely avoiding the multithreaded fork problem.
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For the test to be fair for LLMs, the SAT instance should be reasonably large, but not too big. I can't just give SAT problems with thousands of variables. But also it shouldn't be too easy.
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