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AI code review guardrails

AI Code Review Guardrails for Generated Code

AI-generated code can pass tests and still violate business intent. Guardrails make those rules explicit before merge.

AI code review guardrails are deterministic checks that constrain AI-assisted changes with approved project rules. AxiomGuard verifies TypeScript pull requests against SemanticRules so AI-written code must respect the same intent as human-written code.

Why it matters

Proof beats plausible review comments.

Prompts and repository context are helpful, but they are not enforceable policy.

Approved rules create auditable findings with deterministic evidence.

Heuristic suspicions can inform review, but only proof can block.

Use cases

Where teams apply this first.

FAQ

Questions about AI code review guardrails.

Why do AI-generated pull requests need guardrails?

AI-generated code can be syntactically correct while missing business context. Guardrails check approved rules that prompts and tests may not enforce.

Is AxiomGuard an AI reviewer?

No. AxiomGuard is deterministic-first. It can complement AI reviewers, but blocking findings come from approved SemanticRules and symbolic evidence.

Related topics

semantic code review Semantic Code Review for TypeScript PRs

Semantic code review checks whether a TypeScript pull request preserves approved business and architecture intent, not only syntax, style, or security patterns.

 intent-aware code review Intent-Aware Code Review Guardrails

Intent-aware code review verifies that every pull request preserves documented business, product, and architecture rules.

 architecture drift prevention Architecture Drift Prevention for Pull Requests

Architecture drift prevention catches pull requests that violate documented module boundaries and approved architecture decisions.

 business logic regression prevention Business Logic Regression Prevention in Code Review

Business logic regression prevention checks pull requests for rule violations such as unsafe side effects, broken product invariants, and invalid thresholds.