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Preventing rule-set bloat requires an adversarial review process that validates proposed engineering standards against recurrence, generalization, root cause, and cost-effectiveness before allowing any writes to the project repository.

Human-gated rule-set curation is a workflow where proposed conventions undergo multi-lens adversarial review, ensuring no rule is ever written to the repository without explicit, item-by-item user approval to maintain engineering standards.

To maintain ADR-0035 machine stores and ADR-0043 rule layers, apply deterministic placement logic and multi-stage adversarial validation to proposed conventions, ensuring rule-set coherence through strict anti-overfitting gate adherence.

Adversarial review effectively evolves project rule-sets by applying a multi-lens validation process to ensure newly proposed conventions do not conflict with existing ADRs or engineering standards during curation.

You can automate engineering standards curation while retaining human oversight by applying automated adversarial review and anti-overfitting gates, while requiring explicit, item-by-item user approval before any rule is written.

Avoid automated governance for project rule-sets when proposed conventions cannot pass strict anti-overfitting gates evaluating recurrence, generalization, root cause, and cost-effectiveness, or when deterministic placement logic cannot be applied.