lighthouse-ci VS ESLint

- referred to https://github.com/GoogleChrome/lighthouse/issues/6512 but didnt see network.disable error - added staticdistdir as per https://github.com/GoogleChrome/lighthouse-ci/blob/main/docs/configuration.md,

This approach would suit most of the cases however to achieve more accurate performance audits you should be conducting Lighthouse tests on a dedicated server to avoid results being affected by the machine capabilities. In other words, if you are running Lighthouse audits on a repository where there are several pull requests/workflows/pushes going on, the result of this audit may not be accurate and this is what we want to avoid. For that you would need a separate machine with Lighthouse Server installed on it. So on a pull request you would trigger this machine to conduct a performance audit and return response to your repository.

And finally, Lighthouse has a CI version you can run in your continuous integration. We’ll use this method to schedule periodical benchmarks.

TLDR; I use the Google Chrome Lighthouse CI with a .lighthouserc json configuration to test next start. The Lighthouse CI GitHub app is used to return a pass or fail status check in a PR.

You should also incorporate performance checks into your CI/CD pipeline. Use Lighthouse CI to run a synthetic Lighthouse test on each PR (PS: Learn why you shouldn't believe the Lighthouse score alone) and bundlesize package to raise alerts if your bundle size exceeds a certain threshold. For more nuanced data you should use WebPageTest.

You can also run Google’s Lighthouse CI tool against multiple URLs, and then hook that up to their self-hosted dashboard service: https://github.com/GoogleChrome/lighthouse-ci

You can also set up lighthouse-ci as a github action to evaluate the web vitals on push or in pull requests.

You can have more consistent results if you set up Lighthouse CI in an external environment to test your page or use tools like SpeedCurve, but if you need to quickly inspect a website, I suggest taking a look at Page Speed Insights.

This name is already self-explanatory, and developers just need to run Lighthouse or its CI.

They also have a powerful CI tool (https://github.com/GoogleChrome/lighthouse-ci) with custom timelines, may look to implement it at some point

Do you have the need to find and fix problems in your JavaScript? Then ESLint is for you. With over 120 million downloads each month, it's definitely one of the most popular projects out there. The latest version introduces a new configuration system, designed to simplify available configuration options. Old and deprecated rules have been removed, and a new configuration inspector has been added. Check out the blog for all the highlights, and a migration guide.

ESLint: A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript.

Automating code checks with static code analysis allows us to enforce code styling effectively. By integrating tools into our workflow, we can identify errors at an early stage, while coding instead of blocking us at the end. For instance, flake8 checks Python code for style and errors, eslint performs similar checks for JavaScript, and prettier automatically formats code to maintain consistency.

If you're a developer, you're surely familiar with Prettier and ESLint. With over 8 years of existence, they have established themselves as references in the JavaScript ecosystem.

eslint is used to avoid code errors

No lint errors: The committed code does not contain any lint errors (eslint).

Let’s walk through the steps for a one-time setup to configure husky pre-commit and pre-push hooks, ESLint with code styles conventions, prettier code formatter, and lint-staged. Husky automatically runs a script on each commit or push. This is useful for linting files to enforce code styles that keeps the entire code base following conventions.

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ESLint: A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript.

ESLint