swarm-bakeoff

To compare architectural approaches, you can run a parallel agent bakeoff to generate competing solutions and evaluate their tradeoffs. Define the task scope, select 2-4 evaluative lenses, and synthesize a final plan from the results.

A parallel agent bakeoff is a process that orchestrates multiple agents to produce competing solutions and compare tradeoffs. It enables you to explore options and select the best approach for complex, decision-rich tasks like algorithm selection.

To run a bakeoff for a codebase refactor, declare the task, select 2-4 lenses such as Minimalist or Performance, and run parallel evaluations. The agents will compare tradeoffs and synthesize a final winning strategy.

Yes, you can use lenses like Security, Performance, Best Practices, and Minimalist to guide tradeoff evaluation. You select 2-4 lenses to run parallel evaluations and synthesize a final plan based on the results.

Yes, this approach supports Competitive, Collaborative, and Hybrid modes to cover different collaboration styles. These modes help orchestrate multiple agents to evaluate architectural decisions and select a winning strategy.

You should avoid parallel agent evaluation for simple optimization problems that lack decision-rich tradeoffs. This approach is designed for complex tasks like architectural exploration where multiple approaches must be evaluated in parallel.