run-quality-checks

You can run code quality checks for PR readiness by chaining npm scripts like lint, typecheck, prettier, and test:run in one command. This executes the full verification pipeline to catch issues before submission.

A full code quality pipeline for Spark UI projects includes linting, type checking, formatting, unit tests, end-to-end tests, and accessibility checks. It automates these verifications to reduce review time during development and CI workflows.

Yes, you can run accessibility and end-to-end tests locally using the test:a11y and test:e2e npm scripts. The pipeline supports local development alongside CI environments to validate code before commits.

Yes, the code quality verification tool works without external dependencies. It relies entirely on existing npm scripts within your Spark UI project to execute the linting, typecheck, prettier, and testing pipeline.

The best way to automate lint and typecheck formatting in CI is to run the combined npm script pipeline. It sequentially executes lint, typecheck, prettier, and test suites to produce a clean quality report for your commits.