Systems | Development | Analytics | API | Testing

Accelerating Model Context Protocol (MCP) Journey with SmartBear API Hub

In the evolving landscape of AI applications, the Model Context Protocol (MCP) emerges as a pivotal standard, facilitating seamless integration between large language models (LLMs) and external tools, data sources, and services. By standardizing these interactions, MCP enables AI systems to perform complex tasks with enhanced context and precision. To harness the full potential of MCP, developers require robust tools that ensure reliability, scalability, and efficiency.

How Yellowfin Helps Anyone Build Data Stories with AI

Stories are how humans make sense of complexity. We remember cause and effect, not pie charts. We respond to tension, not tooltips. And yet, in most businesses, “data storytelling” still means downloading a CSV, sending screenshots in Slack, or fumbling through a slide deck minutes before the meeting. The promise was beautiful. Democratize data. Make every decision backed by fact, not gut. Put analytics in the hands of the many, not the few.

Perfecto AI: Flight Booking Demo - Japanese Site with Seat Selection

Perfecto AI: Flight Booking Demo – Japanese Site with Seat Selection This video showcases how Perfecto AI, powered by Perforce Intelligence, revolutionizes test automation for multilingual and dynamic environments. Experience the seamless automation of complex workflows like opening a flight search site in Japanese, selecting destinations, validating dates, completing the booking flow, and even choosing specific seats from a seat map. Perfecto AI eliminates the need for brittle scripts, OCR processes, and element tagging.

Perfecto AI: Retail Discount Verification Demo

Perfecto AI: Retail Discount Verification Demo Discover how Perfecto AI, powered by Perforce Intelligence, transforms test automation for complex shopping app workflows. From launching a shopping app to logging in and verifying that promotional discounts are correctly applied, Perfecto AI handles it all with precision and efficiency. Say goodbye to brittle scripts and hard-coded tests that become obsolete with every UI or business logic update.

Your guide to fine-tuning Gradle memory allocations

No one starts their work day thinking “Let’s investigate the memory allocations of my Gradle build”, but sometimes life happens (usually at the worst possible time): Every Gradle project faces memory allocation problems eventually, as the codebase grows. So, instead of blindly applying JVM flags from Stack Overflow until it’s resolved, why not take a deeper look?

How To Test Websites Manually: A Simple (But Complete) Guide

Manual web testing is still the backbone of quality assurance for many teams. It gives you control, flexibility, and insight that automated tests can’t always match. Before automation tools are introduced, or even alongside them, manual QA testing have helped QA teams identify visual bugs, navigation issues, broken flows, and inconsistencies in real-world user behavior. They are a little bit tedious, but they sure are helpful. This guide will walk you through.

Benefits of BDD in Testing Process

Automation testing has become an essential part of modern software delivery. It helps teams release faster while ensuring quality at every stage of development. A well-defined automation test strategy gives QA teams a roadmap to plan, build, and execute automated tests effectively. Behavior-driven development (BDD) takes this further. It bridges the gap between business stakeholders, developers, and testers by using plain language scenarios.

Batch Testing: What It Is And How To Use It?

Batch testing is the process of executing a group of test cases or scripts together without manual intervention. It is one of the most effective ways to validate multiple features at once, especially during regression testing or nightly builds. Instead of running each test manually, you can automate the batch testing process to save time and reduce repetitive work. This approach is widely used in QA teams to improve test execution speed and catch defects early in the software development lifecycle.