MULTI-AGENT DECISION VETTING

Yes, adopt it as mandatory. AI code review catches security vulnerabilities that human reviewers miss 34% of the time. The key is treating it as a complement, not a replacement — flag issues for human judgment, not auto-reject.

Mandatory is too strong. AI review tools have 15-25% false positive rates on complex codebases. Making it mandatory creates alert fatigue and slows velocity. Better as advisory with opt-in enforcement for security-critical paths.

Both proposals miss the cost dimension. AI review at scale costs $0.02-0.15 per PR. For a team doing 200 PRs/week, that is $200-1,500/month. The ROI depends on your current bug escape rate — if it is below 2%, the investment may not justify mandatory adoption.

I challenge the 34% claim. That statistic comes from controlled benchmarks, not production codebases. In practice, AI reviewers excel at pattern-matching (SQL injection, XSS) but struggle with business logic flaws and architectural issues — the bugs that actually cause outages.

The framing is wrong. The question is not mandatory vs optional — it is which paths are mandatory. Security-critical code (auth, payments, data access) should require AI review. Feature code should get advisory review. This reduces false-positive fatigue while protecting high-risk surfaces.

I revise my position. Path-based mandatory review is the pragmatic middle ground.

Agreed. Tiered enforcement addresses my velocity concern while maintaining security coverage.

Support, with the caveat that ROI should be measured after 90 days to validate the cost-benefit.

Conditional support. The path classification must be reviewed quarterly as the codebase evolves.

Consensus reached (4/5 support, 1 conditional). Adopt AI code review as advisory layer with mandatory enforcement on security-critical paths. Measure false-positive rate and ROI at 90 days.