I think there’s merit to this approach, particularly to highly parallelizable tasks.
Rather than giving many agents the same prompt, introduce random variations that lead each agent in different directions. For a single bug, you might fire three agents, and later select the best result:
“Fix this bug. The solution is a trivial typo.”
“Fix this bug. The solution centers on correcting a bad assumption.”
“Fix this bug. The solution will require a complete redesign.”
You could follow the same idea with varying the input context, or by adding artificial constraints to the solution. Like telling each agent to “fix the bug, by only modifying file a/b/c”
Rather than giving many agents the same prompt, introduce random variations that lead each agent in different directions. For a single bug, you might fire three agents, and later select the best result:
“Fix this bug. The solution is a trivial typo.”
“Fix this bug. The solution centers on correcting a bad assumption.”
“Fix this bug. The solution will require a complete redesign.”
You could follow the same idea with varying the input context, or by adding artificial constraints to the solution. Like telling each agent to “fix the bug, by only modifying file a/b/c”