Adversarial Code Review paired agents, zero noise,validated findings
Adversarial agent pairs cut false positives from 60% to 7%—genuinely clever architecture.
Adversarial agent-pair harness: one model writes code through a TDD pipeline, a second model reviews it, gated at human checkpoints. Apache-2.0.
Two-model adversarial review beats single-model self-agreement for AI code generation.
Teams using multiple AI coding agents
CodeRabbit · Cursor · Reviewable
Adversarial agent pairs cut false positives from 60% to 7%—genuinely clever architecture.
CEO agent that hires and fires workers is clever, but multi-agent orchestration is extremely crowded.
Adversarial reviewers try to break builds before self-written tests rubber-stamp them.
Educational gate forces you to learn before delegating — nothing else does this.
Fresh context per phase stops AI agents from reviewing their own work.
Adversarial multi-agent verification when best-of-N sampling is already well-documented elsewhere.