checkpoint-validator

Automate quality gates for AI-generated code by running a validator against your project directory during CI pipelines to enforce compile, test, coverage, lint, and security checks before merging. It detects the project language and outputs a structured JSON report for orchestration.

Yes, you can enforce security and lint checks across multiple languages. The validator detects Java, Node/JS, and Python projects automatically, selecting and applying the appropriate quality gate checks for each specific ecosystem during your workflow.

The best way to audit AI code generation and refactoring workflows is to generate a structured JSON report. This validator outputs audit-ready pass/fail results for compile, tests, coverage, lint, and security, which can be consumed by orchestration tools for logging and compliance.

Yes, the quality gate validator supports OpenAPI and documentation validation. These are included as optional steps alongside the standard compile, test, coverage, lint, and security checks to ensure comprehensive artifact validation.

Validate test coverage and compile checks by applying the validator during code generation and refactoring workflows. It automatically runs the necessary quality gates on your AI artifacts and produces a structured pass/fail result to block merges if constraints are not met.