typescript-eslint VS node-clinic

Typescript-eslint can assist in this task. This tool helps identify all instances of unsafe any usage. Specifically, all usages of JSON.parse can be found and it can be ensured that the received data's format is checked. More about getting rid of the any type in a codebase can be read in the article Making TypeScript Truly "Strongly Typed".

> Only lint files that have changed? How hard that is?

Quite hard, especially since type-aware rules from e.g. https://typescript-eslint.io/ mean that changing the type of a variable in file A can break your code in file B, even if file B hasn't changed.

The article only touches this: when converting to TypeScript, `any` is useful, but in the end you don't want this type in your codebase - so don't forget to use typescript-eslint [0] and turn on those no-unsafe-* rules which guard against `any` leaking into your code.

[0] https://github.com/typescript-eslint/typescript-eslint

By convention, React components should be named in PascalCase. @typescript-eslint has the config we need, and though we can't specifically target React components, we can target variables (and set some other conventions while we're at it):

It's basic, but it works. You can see what function or 3rd library is after your resources and debug them locally (For example, by using ClinicJS - https://clinicjs.org/)

Clinic.js

Clinic.js - performance analysis tooling.

I’ve also seen some pretty bad event loop saturation causing significant delays. Run this https://clinicjs.org

Clinic.js includes three tools to help diagnose and pinpoint performance issues in Node.js applications. It’s surprisingly easy to use. All you need to do is install the module from npm and run it. This will generate reports for you that make troubleshooting much easier.

To compare the two servers, we used two packages. The first one was ClinicJS, an open-source set of tools used to diagnose NodeJS performance issues, which also gives you suggestions and points you in a direction to fix the diagnosed problems. The second one was hey, a CLI tool to send some load to the server. Below we show how we use them and the results of these comparisons.

WTF? 1.15 GB of RAM while idle, have you tried to profile the app? maybe you have some memory leaks, use node clinic to diagnose performance issues.

You can use https://clinicjs.org along with autocannon to identify bottleneck