ai-code-guardrails
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 5 Aug 2026. How this is checked
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.
Inferred · not functionally tested
Overview
5 featuresPurpose: Preventing low-quality, insecure, or out-of-scope code from AI coding assistants from entering production repositories.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: monitoring, workflow_automation
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: FSL-1.1-MIT · platforms: CLI · deployment: cli
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
ai-code-guardrails sits in PulseGate's AI security & guardrails category. Inferred · not functionally tested: It focuses on preventing low-quality, insecure, or out-of-scope code from AI coding assistants from entering production repositories. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: ai-code-guardrails is open source under the FSL-1.1-MIT license. Basis unknown · not verified: 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. Inferred · not functionally tested: 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.
Tasks: Inferred · not functionally tested
- Diff Budgeting
- Scope Discipline
- Test Integrity
- Dependency Policy
- Red-team Testing
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed5 Aug · 16:46 UTCai-code-guardrails seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about ai-code-guardrails
- What is ai-code-guardrails?
- Inferred · not functionally tested: Ai-code-guardrails focuses on preventing low-quality, insecure, or out-of-scope code from AI coding assistants from entering production repositories. It is catalogued under AI security & guardrails on PulseGate.
- Who should use ai-code-guardrails?
- Inferred · not functionally tested: ai-code-guardrails is an open-source project built for developers.
- Is ai-code-guardrails free?
- Basis unknown · not verified: Yes — ai-code-guardrails is open source under the FSL-1.1-MIT license and free to use.
- What platforms does ai-code-guardrails run on?
- Basis unknown · not verified: ai-code-guardrails runs on the command line.
- Is ai-code-guardrails still active?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 23 commits in the last 90 days.
- What are alternatives to ai-code-guardrails?
- Similar projects tracked by PulseGate include ai-engineering-guardrails, action-guardrail, and agent-code-guard.ai-engineering-guardrailsaction-guardrailagent-code-guard
- How long has ai-code-guardrails been around?
- ai-code-guardrails first shipped in 2026.
- Is ai-code-guardrails open source?
- Basis unknown · not verified: Yes — ai-code-guardrails is open source under the FSL-1.1-MIT license, developed on GitHub.
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