multi-agent-verify

Parallel code verification uses three distinct AI agents—OpenCode, Codex, and a Claude subagent—operating simultaneously in isolated git worktrees to independently review code, identify bugs, and propose fixes before synthesizing results into a single robust commit.

You automate code review by using a skill that orchestrates parallel execution of OpenCode, Codex, and Claude subagents in separate git worktrees, having each independently assess security, architecture, and standards before applying synthesized fixes.

Yes, you can use independent AI agents to write tests and fix bugs simultaneously by deploying OpenCode, Codex, and a Claude subagent in parallel, allowing them to independently validate changes before consolidating their findings.

The best way to synthesize code review findings from multiple agents is to run them in isolated git worktrees and consolidate their validated fixes into a single commit, ensuring thorough review and multi-agent consensus.

Yes, you need git worktrees to run parallel AI agents for code verification, as each of the three agents operates in a separate, isolated worktree to independently review code and propose fixes without conflicts.

You should not use multi-agent verification for trivial code changes or when isolated git worktrees are unavailable, as orchestrating three independent AI agents requires sufficient environment setup to justify the parallel execution overhead.