Systems | Development | Analytics | API | Testing

In today’s fast-moving tech world, microservices have become the backbone of modern applications. But with flexibility comes complexity, especially when it comes to testing. Unlike monolithic apps, testing microservices requires a different approach. Each service runs independently, and making sure everything works smoothly together is both important and challenging. In this blog, we’ll walk through what microservices are, why testing them matters, and how to approach them step by step.

Have you ever wished Python had a native switch-case statement like C or Java? It would make conditional logic so much easier to read, especially when you have more than 3 conditions to handle. While Python doesn’t offer a built-in switch-case structure, the good news is that there are clean and Pythonic ways to achieve the same behavior. In this blog, let’s explore three practical ways to implement switch-case in Python with real examples and how to make sure they work using automated tests.

To evaluate our software application’s quality and reliability we are going to have to test our application in a variety of ways. The two most basic forms of testing we have available to us are unit testing and functional testing. Unit testing and functional testing are the TRUE basic building blocks of those different types of testing.

What’s the difference between a software launch that builds customer confidence and one that becomes a costly disaster? Often, it comes down to how thoroughly the product was tested internally before anyone outside the company ever saw it. he irony is that alpha testing is often the most cost-effective phase for catching serious issues, yet it’s frequently the first thing cut when timelines get tight.

It is said that the special nature of software development is ever-changing so it is important to choose the right tool for the job. Whether it’s a web interface or a cross-platform mobile app you are building, React and React Native are two of the most powerful technologies available today. This blog will answer the question of "what is React and What is React Native" and show how Keploy can help improve test efficiency across both frameworks.

When you use loops in Python, there are a lot of times when you don’t just want the item from a list, you also want to know where that item is in the list. For example, going through a list of names and needing to show their position, like “1. Alice”, “2. Bob”, and so on, or you could be building a menu where each option needs a number next to it. In these situations, Python’s enumerate() function is very helpful.

Do you ever feel like you need a superpower to get the information you need? Especially when you’re really into Python? APIs are pretty much that superpower! APIs (Application Programming Interfaces) let your code "talk" to other systems and get exactly what you need. They can help you come up with a new app, find the next big market trend, or even automate your morning weather report. This guide?

To be honest, most Python developers are not using list comprehensions. Even I, who is writing this blog, never used list comprehensions before. But when I saw some examples, I felt I had to try and use them in my Python code. The reason for this change of mind is that there are a few advantages we get if we implement list comprehensions. Let’s see what these are in this blog today.

Let’s start with DevOps, the buzzword that changed how we think about building and shipping software. These days, every college student and other professional wants to become a DevOps engineer. If you are an aspiring DevOps engineer or already working as a DevOps engineer, this blog will help you understand the difference between Platform engineering and Devops Platform engineering is really changing every company’s perspective on developing platforms.

In modern web development, speed and reliability are combined you can deploy features quickly, but without proper testing, bugs might pass through and strike real users. That is where tools like Selenium IDE fit in – they enable you to automate browser interactions without writing a single line of code. As a person who just tried Selenium IDE on a test login form, I was amazed at how simple it is to create repeatable test flows in a matter of a few clicks.

One of the problems development teams experience is that when they build applications, they are unable to scale them or handle maintenance and that leads to technical debt and maintenance nightmares. Eventually, the very thing that is software architecture becomes necessary once an organization needs systems to continue to evolve, scale, and change because of the needs of the business.

These days, even a 6th-grade student knows about ChatGPT, right? I’m sure most of you reading this blog have tried ChatGPT at some point maybe to help with an assignment, generate some content, or just to play around. It’s truly a game changing innovation that’s helping people in so many ways. But here’s the cool part: instead of only using ChatGPT through the browser, did you know you can also interact with it directly through an API?

Have you ever looked at your code and asked yourself, "Who wrote this mess??" And suddenly you realized it is none other than you. I’ve faced this situation a lot—your own code seems like a mess if you review it after 2 or 3 months. Do you know the reason why? Yes, it’s because there is no refactoring in the code In this blog, we’ll explore what code refactoring is, why it’s important, and walk through a few examples.

Frontend coding has been transformed by JavaScript frameworks for more than a decade, with developers leaning on the robust tools to create interactive, responsive web applications. The advent of single-page applications and demand for improved user experiences have rendered frameworks indispensable in contemporary web development. In this detailed guide, we’ll delve deeply into the two most used frontend frameworks: Angular and React.

This benchmark report provides a side-by-side comparison of Google’s Gemini 2.5 Pro and OpenAI’s o1 models in AI-driven software testing. Across both unit test generation (UTG) and API test generation (ATG), Gemini 2.5 Pro demonstrated clear superiority in key areas. In summary, Gemini 2.5 Pro outperformed OpenAI o1 by: OpenAI’s o1 model had strengths in smaller-scale applications, but overall it generated shallower tests and struggled to match Gemini on complex projects.

Doing things manually on GitLab is okay, but it can get repetitive and time-consuming. That’s where the GitLab Python API comes to the rescue! With it, you can automate tasks like creating projects, branches, or merge requests using just a few lines of Python code. It’s incredibly handy for DevOps, scripting, or personal projects! In this blog, we’ll dive into setting up and using the GitLab Python API step by step.

Due to artificial intelligence and Large Language Models, having streamlined data communication, easy access and easy discovery is now more important than ever. Many people are unaware of it, but the llms.txt file is very important and key to what happens in the machine learning and web sectors. With this plain text file, websites and platforms can interact with LLMs, giving metadata that can impact the way AI indexes, interprets and generates their content.

Ever deployed code only to watch everything crash? We’ve all experienced that sinking feeling ,which is exactly why testing matters so much. While most developers understand that testing is vital, two important approaches : unit testing and regression testing are frequently confused, despite serving completely different functions. In this blog, we’ll clear up the confusion, examine their core methodologies, and how tools like Keploy can automate and enhance your testing processes.

In the field of software quality assurance, there are two types of testing often referenced, smoke testing and regression testing. While they are both vital to software quality, each has its own unique functions and overlaps in the software development cycle. This post explores the differences between smoke testing vs regression testing, and when and how to effectively implement each.

TypeScript interface definitions are critical in maintaining type safety when a JavaScript application is being created. They enable developers to define object structures and help ensure consistent development in a project. Understanding, using, and maintaining interfaces in TypeScript is important in proving to be beneficial to development regardless of project size – whether it is an enterprise application or a small JS app – giving you an experience and quality of code that will be superb.

Automated Test Equipment (ATE) serves as a key component of electronic system reliability and performance across industry. While hardware – test fixtures, signal generators, probes – may garner attention, it is software that produces the ‘brilliance’ of intelligence, accuracy, and scalability.