I forked a live AI agent three ways, and every copy came up with its web server already running

A recent experiment using DigitalOcean's Managed Agents platform demonstrates the power of checkpointing and forking live AI development environments. By creating a checkpoint of a running microVM, the author was able to fork the session three times, with each branch retaining the exact state of the original, including active processes like a running web server. Unlike re-running prompts, which yields unpredictable results and varying costs, forking allows developers to preserve a specific, functional state of an AI agent's work. The author also tested the platform's rollback capabilities, successfully restoring a deleted application and its processes to their exact previous state. This approach suggests a shift in how developers might manage long-running agent tasks, treating machine states like version control to enable safer experimentation, faster iteration, and precise recovery from errors.