AI Generated Tests that actually work!

In today’s fast-paced digital world, ensuring software security is a top priority. One of the most effective ways to uncover hidden vulnerabilities is through fuzz testing (or fuzzing). This powerful software testing technique involves injecting random, malformed, or unexpected inputs into an application to identify security weaknesses. Fuzz testing is widely used to detect crashes, memory leaks, and security exploits that traditional testing methods might miss. With the increasing complexity of modern software, AI-driven testing tools like Keploy can automate fuzz testing and improve the overall security and stability of applications. In this blog, we’ll explore fuzz testing, its importance, different types, tools, best practices, and how Keploy enhances fuzz testing . What is Fuzz Testing? Fuzz testing is an automated testing approach designed to test how software handles unexpected or incorrect input data. By flooding an application with random or malformed data , fuzzing h...

Functional testing is a crucial step in software quality assurance that ensures an application meets its specified requirements. It focuses on verifying that each feature works as expected, delivering a seamless user experience. By leveraging automated testing tools like Keploy , teams can enhance efficiency and reliability in functional testing . What is Functional Testing? Functional testing is a type of black-box testing that evaluates software functionality against predefined specifications. It ensures that the system’s inputs and outputs align with expected behavior without focusing on internal code structure. For example, in an e-commerce application, functional testing verifies whether users can successfully add products to their cart, apply discounts, and complete payments. Why is Functional Testing Important? Functional testing plays a vital role in software development by: Ensuring correctness: It verifies that the application performs the intended f...

In modern software development, deploying new features and updates can be risky, especially in production environments. A faulty release can cause downtime, impact user experience, and result in financial losses. Canary software deployment is a progressive release strategy that helps teams mitigate these risks by testing new features on a small subset of users before rolling them out to everyone. This method allows developers to monitor performance, gather real-time feedback, and ensure stability before a full-scale release. What is Canary Software? Canary software refers to a deployment strategy where a new version of an application is initially released to a limited group of users. The term "canary" comes from the historical practice of using canaries in coal mines to detect harmful gases—if the canary was affected, miners knew there was danger. Similarly, in software, a canary release helps detect issues before they impact all users. This strategy is particularly us...

What is UAT ? User Acceptance Testing (UAT) is a critical phase in the software development lifecycle that ensures a product meets business requirements and user expectations before deployment. This article will explore what UAT is, why it is important, and how it is conducted. Understanding User Acceptance Testing (UAT) User Acceptance Testing (UAT) is the final phase of testing where real users validate the system’s functionality against business needs. Unlike functional testing, which checks for defects, UAT focuses on verifying if the software is ready for actual use. It ensures that the software works as intended in a real-world business environment. Importance of UAT Skipping UAT can lead to issues that impact end-users, causing delays, costly fixes, or even project failures. UAT helps ensure that the software aligns with business processes, meets user expectations, and identifies issues before release. Without UAT, software may be technically sound but fail to meet ope...

 AI is no longer a futuristic concept-it’s actively shaping how software is built, tested, and deployed. In today's fast-paced development world, prompt engineering plays a critical role in ensuring AI-powered automation delivers accurate and reliable results. As AI continues to reshape industries and its value is undeniable while more professionals are recognizing its potential to drive efficiency and innovation. The importance of AI automation in the software development process has never been clearer. What is a Prompt? The Role of Prompts in AI Automation A prompt is essentially a piece of input or instruction given to an AI model to guide its response or action. It serves as a way to communicate with the AI. Telling it what task to perform or what kind of information is needed. The quality and clarity of the prompt play a major role in the AI's ability to provide a relevant and accurate response. For declaring and describing a prompt we can use text based AI models like G...

 Testing is a crucial aspect of software development, ensuring reliability, functionality, and performance before deployment. In this blog, we will explore how to test a Golang CRUD application on Bitbucket using Docker for database and dependencies. We will approach it from both a developer's and a DevOps perspective, covering unit tests, integration tests, CI/CD automation, and best practices. Overview of the Application We will use a Golang CRUD application that utilizes GraphQL , PostgreSQL , and the go-chi router . The app has two main entities: Author Post The application supports operations like creating, reading, updating, and deleting ( CRUD ) authors and posts. Key Technologies Used: Golang : The programming language. PostgreSQL : The database running via docker. GraphQL : The API query language. Docker & Docker Compose : For containerizing the application and dependencies. Bitbucket Pipelines : For automated testing and deployment. Step 1: Writing Unit Tests Un...

  APIs are the foundation of modern applications, enabling seamless communication between different systems. To ensure they function correctly, API testing is crucial. Proper API testing helps prevent security vulnerabilities, performance issues, and integration failures. In this blog post, we’ll explore some of the best free API testing tools available, helping developers and testers improve API quality without additional costs. Why API Testing Matters API testing ensures that an API behaves as expected under different conditions. It helps developers and QA teams verify: Functionality – Ensuring the API returns the expected output for given inputs. Security – Identifying vulnerabilities and ensuring data protection. Performance – Evaluating API response time and scalability. Reliability – Ensuring consistent API performance across different environments. Without API testing, broken integrations, slow response times, or security vulnerabilities can...

Test Driven Development (TDD) is a software development methodology that emphasizes writing tests before implementing the actual code. This approach ensures better code quality, reduces bugs, and promotes a more structured development process. By focusing on tests first, developers create software that is more reliable, maintainable, and easier to refactor. What Is Test-Driven Development? TDD is a software development technique where tests are written before writing the corresponding code. This practice ensures that the code meets requirements and functions as expected. The key idea behind TDD is to define expected behavior through test cases before writing the implementation. By following a structured cycle of writing tests, implementing code, and refactoring, developers create reliable and maintainable software. The TDD Workflow: Red-Green-Refactor TDD follows a simple but effective workflow known as Red-Green-Refactor : Red : Write a failing test for the new featu...

Artificial Intelligence (AI) is transforming industries, and the right tools can unlock unparalleled innovation and efficiency. As organizations increasingly rely on data-driven decision-making and automation, AI tools have become essential to drive productivity and foster innovation. What Are AI Tools? AI tools encompass software, frameworks, and platforms that leverage machine learning and deep learning to solve complex problems and automate tasks. These tools enable everything from natural language processing and image recognition to predictive analytics and robotics, making them indispensable across various sectors. The Importance of AI Tools In today's data-driven world, AI tools are essential for boosting productivity, making informed decisions, and driving innovation across various sectors. They empower organizations to analyze large volumes of data, optimize processes, and create intelligent applications that can adapt to changing market demands. Criteria for Sele...