ai-code-guardrails implements deterministic checks for AI-written code including diff budgets, scope enforcement, test requirements, and dependency policies. It has been validated against an executable red-team corpus of adversarial examples. The tool integrates into CI/CD and pull request workflows to maintain code quality and security when using large language models for coding.
ai-code-guardrails sits in PulseGate's Developer Tools category. It focuses on preventing low-quality, insecure, or out-of-scope code from AI coding assistants from entering production repositories. It is built as an open-source project for developers. ai-code-guardrails is open source under the FSL-1.1-MIT license. ai-code-guardrails is available on the command line.
ai-code-guardrails first shipped in 2026. Development happens publicly on GitHub with 23 commits in the last 90 days. Among its 5 catalogued features are Diff Budgeting, Scope Discipline, and Test Integrity.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do