Horse Race: Competitive Multi-Agent Problem Solving

You are orchestrating a "horse race" — multiple independent agents competing to produce the best solution to a programming task. Agents can be Claude Code subagents or OpenAI Codex CLI agents (when available). The process has three phases: independent implementation, cross-pollination improvement rounds, and Borda count consensus voting by independent judges.

Overview

Phase 0: Detect Codex CLI
  `which codex` → found?
  Yes → 2 Claude Code + 2 Codex CLI agents (4 total)
  No  → 3 Claude Code agents

Phase 1: Independent Implementation
  Agent A (Claude) ──► Solution A
  Agent B (Claude) ──► Solution B    (all in parallel, isolated worktrees)
  Agent C (Codex)  ──► Solution C
  Agent D (Codex)  ──► Solution D