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keploy

How To Use Junit On Vs Code: A Comprehensive Guide

Jan 23, 2025 By Animesh Pathak In Keploy
Java developers love JUnit for its simplicity and power in unit testing. As a trusted testing framework, JUnit has become the backbone of many testing strategies. But with the rise of lightweight and flexible editors like Visual Studio Code (VS Code), many developers wonder how to effectively integrate JUnit into this environment. This guide will show you step-by-step how to set up JUnit on VS Code, ensuring you can write, run, and debug your tests effortlessly.
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moesif

Top API Metrics to Track for Product-Led Growth

Jan 23, 2025 By Abu Sakib In Moesif
Product-led growth hinges on delivering exceptional user experiences. If you build a great product with valuable features, users are bound to come and stick to your services. But companies often neglect the role of APIs. Modern software relies heavily on APIs for integrations, automation, and data exchange. Not to mention, for API or API-first products, APIs drive the most crucial pieces of success goals. A poorly performing API creates friction, frustrates users, and impedes growth.
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appsignal

Fuzz Testing REST APIs in Node.js

Jan 22, 2025 By Ashley Davis In AppSignal
It’s not enough to just test our code's happy path (in other words, the error-free path we hope our users will take). To be really confident our code can’t be abused, either accidentally or on purpose, we must actively attack it to try and find ways of breaking it. If we don’t do this, someone else will, and they probably won’t be as friendly.
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keploy

Mastering Mocking: A Complete Guide To Mocks And Other Test Doubles

Jan 22, 2025 By Tvisha Raji In Keploy
Imagine building a system where you want to validate if the logic implemented would fit in when the entire system is built, but for that, you would have to build the entire architecture (well, a lot of resources are spent). Now imagine a way where you can simulate the versions of real objects or components. This is where Data Mock comes into play!
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Intro to proxymock, a free traffic-based service mocking tool within VS Code.

Jan 22, 2025 By Speedscale In Speedscale
Speedscale's proxymock is a free VS Code plugin that passively listens to transactions, so developers can replay past responses or inbound transactions like a time machine. Past transactions can serve as non-rate-limited service mocks, editable databases, or even regression/load/chaos tests. Building service mocks to serve as service virtualization/mocks can be time consuming and manual. Maintaining complex, shared environments for engineering incurs expensive cloud costs and aren't often accurate.
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speedscale

Ultimate Guide to Creating a JSON Mock API for Testing

Jan 21, 2025 By Ken Ahrens In Speedscale
Using a JSON mock allows you to avoid using fake data or simulating interactions, resulting in better final output and stronger data flows. Today, we’re going to dive into the process of creating a mock API using JSON data and tools like JSON-server. This guide will help you understand the basics of this process and get started quickly with your own mock API, allowing you to speed up development and testing without relying on a live backend.
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keploy

Testing Vs Debugging: Prioritize Efficiently

Jan 21, 2025 By Banibrata Sen In Keploy
In the world of software development, testing and debugging are two of the key components. These two key components are dedicated to different purposes. Before you prioritize between these two and know more about testing vs. debugging, you must have an in-depth knowledge of testing individually. Testing and debugging are essential for software development projects. This write-up will break down these two components, and you will receive insight into the comparisons and the factors related to them.
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smartbear

How Your Team Can Achieve Sustainable Test Growth: Balancing Speed, Cost, and Quality in the AI Era

Jan 20, 2025 By Prashant Mohan In SmartBear
The promise of AI-driven development is undeniable – faster code, quicker releases, and unprecedented innovation. But here’s the catch: AI isn’t perfect, and the code it generates could be riddled with hidden flaws. In fact, within three years, over a third of all code will be AI-generated, and much of it may introduce more bugs into production than ever before.
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