pythagora VS lodash

Product which you can try - https://github.com/Pythagora-io/pythagora, check also video - Open-Source AI Agent Can Build FULL STACK Apps (FREE “Devin” Alternative) (youtube.com)

P.S. If you found this post helpful, it would mean a lot to me if you starred the Pythagora Github repo and if you try Pythagora out, please let us know how it went on [email protected].

Thanks, yes, it can, we actually started off with integration tests. Take a look at the integration tests README. They work by recording server activity (db queries, 3rd party API requests, etc.) during the processing of an API request.

Recently, I open sourced Pythagora - a dev tool that tracks the server activity and creates integration tests from it. However, many people said that they wanted to analyze better what is inside the tests and to use tests as code documentation. So, I used GPT-4 to export Pythagora tests (which are basically JSON files that contain all captured data) to Jest code which can be reviewed and used for documentation.

I'm working on Pythagora, an open source tool that writes automated integration tests by itself (well, with a bit of help from GPT-4) without you, the dev, having to write a single line of code. Basically, you can get from 0 to 80% code code coverage within 30 minutes (video).

Hey! I'm working on Pythagora (https://github.com/Pythagora-io/pythagora) - it's an open source tool that creates automated integration tests by analyzing server activity without you having to write a single line of code.

Pythagora is an NPM package designed to create automated tests for your Node.js applications by analyzing server activity. It records all requests to your app's endpoints, along with responses and server actions, such as Mongo and Redis queries. Pythagora during testing simulates the server conditions from the time when the request was captured, allowing for consistent and accurate testing across different environments.

Finally, if you read this far and would like to support us, please consider starring the Pythagora Github repository here – it would mean the world to us.

Let’s make sure that we can packages and run code. We will install lodash, call a function from it, and print the output.

Lodash.js is like the Swiss Army knife for JavaScript developers. Need to manipulate data structures or dabble in functional programming? Lodash is here to save the day with its arsenal of utilities. It's all about making your code cleaner and your life easier, which is probably why big guns like Google and Airbnb have it in their toolkit.

lodash - utility library enabling things like deep object comparison that aren't easy to do with javascript out of the box. docs

Lodash is a widely used JavaScript utility library that provides a plethora of functions to simplify common programming tasks. From manipulating arrays and objects to handling edge cases and implementing functional programming paradigms, Lodash offers a comprehensive toolkit for JavaScript developers. In this beginner's guide, we'll learn how to get started with Lodash and leverage its functionality to write cleaner, more efficient, and more maintainable code.

5. Lodash

If you want even more sophisticated equality checks like deep comparisons, there's the: lodash.iseQual library that'll do this for you out of the box. At least now you do have a bit of clarity on what's happening under the hood, so there's no harm in using a library.

It's also important to ensure that you're importing libraries correctly, so webpack can perform tree shaking effectively. For example, let's import lodash, as follows:

Lodash is awesome! It’s a JavaScript library that helps you do many things with data. You can use Lodash to manipulate arrays, objects, JavaScript strings, numbers, and more. It’s easy to get Lodash in your project. You can use npm or a CDN to install and import it. Here’s how:

Think of RxJS as Lodash for events.

lodash and You Might Not Need Lodash