Awesome Reviewers

When code performs concurrent I/O and lifecycle management, apply these rules:

1) Don’t hold broad/shared locks across blocking work

2) Offload blocking I/O to dedicated per-resource workers

Example pattern (writer thread + enqueue):

use std::{collections::HashMap, sync::{Arc, Mutex}, thread};
use std::sync::mpsc::{self, Sender};

type Sessions = Arc<Mutex<HashMap<String, Sender<Vec<u8>>>>>;

fn spawn_writer(id: String, writer: impl std::io::Write + Send + 'static, sessions: Sessions) {
    let (tx, rx) = mpsc::channel::<Vec<u8>>();
    sessions.lock().unwrap().insert(id, tx);

    thread::spawn(move || {
        let mut writer = writer;
        for bytes in rx {
            // blocks, but no global lock is held here
            let _ = writer.write_all(&bytes);
        }
    });
}

fn terminal_write(sessions: &Sessions, id: &str, data: Vec<u8>) -> Result<(), String> {
    let tx = sessions.lock().unwrap()
        .get(id)
        .cloned()
        .ok_or_else(|| "session missing".to_string())?;
    // no locks held during send; worker performs blocking writes
    tx.send(data).map_err(|_| "session ended".to_string())
}

3) Prevent stale threads from overwriting newer state

4) Make lock ordering explicit

Adopting these four rules will eliminate common issues seen in the discussed code: IPC stalls from lock-held blocking I/O, deadlocks from inconsistent lock ordering, and racey state corruption from late cleanup during replacement.