
The discussion centers on extending the MCP protocol to standardize how agents write and change states, addressing the challenges of concurrent tool use and state mutation in multi-agent systems. It highlights the problem of agents stepping over each other when writing to shared resources, using the example of multiple agents attempting to write a Tetris program simultaneously. The solution involves creating isolated workspaces for each sub-agent, managed through an orchestration layer that automatically injects workspace IDs into tool calls. Git WorkTrees are used for efficient isolation, avoiding duplication of shared dependencies. This approach enables parallel experimentation, reducing the time to solve complex coding problems from hours to within an hour, regardless of the number of strategies attempted.
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