When many tests fail at the same time, fixing them one by one is slow. You can send each failing test to its own AI agent. Each agent works on its own problem without talking to the others. This way you fix all the bugs at once.
The key is to give each agent a clear and focused task. Tell it exactly which test file to fix. Give it the error messages and any rules it must follow. Each agent works in its own isolated space so they never interfere with each other.
This saves a lot of time. Instead of fixing three bugs in a row, you fix them all at the same time. The agents return their fixes and you check that nothing conflicts. It works great for independent failures that do not share code or state.
Global
mkdir -p ~/.claude/skills/dispatching-parallel-agentsProject
mkdir -p .claude/skills/dispatching-parallel-agentsSource Repository
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