Systems | Development | Analytics | API | Testing

Introducing ephemeral messages for lightweight updates

Not every message in a realtime app needs to be available in message history, like in the rewind backlog or in persistent storage. Ably is introducing ephemeral messages to let you deliver transient updates - like reactions, typing indicators, or cursor positions - which are only delivered to clients that are connected at the moment the message is published.

Streamline AI Usage with Token Rate-Limiting & Tiered Access in Kong

As organizations continue to adopt AI-driven applications, managing usage and costs becomes more critical. Large language models (LLMs), such as those provided by OpenAI, Google, Anthropic, and Mistral, can incur significant expenses when overused. This blog will explore how you can streamline your AI workloads by leveraging Kong’s token rate-limiting and tiered access features.

Common Types of Software Architecture

When exploring common types of software architecture, it’s important to understand the foundational patterns that drive modern application development. Software architecture patterns like MVC, client-server, microservices, and event-driven models help teams build scalable, maintainable, and robust applications. Software architects have built a broad range of options with varying features.

Top Gherkin BDD Tools for Modern Test Management in 2025

Software quality assurance has evolved significantly in recent years, with behavior-driven development (BDD) emerging as a powerful methodology for aligning technical teams with business objectives. At the center of this evolution sits Gherkin, a simple yet powerful specification language that bridges the communication gap between technical and non-technical stakeholders and simplifies the creation and maintenance of automated tests.

Key Differences Between an LLM and a True AI Agent

What is an AI Agent? In under 30 seconds, Marcus Merrell, co-host of Test Case Scenario, breaks down the key difference between a basic LLM (like ChatGPT) and a true AI agent. Hint: one gives you answers — the other takes action. Subscribe for more insights on software testing, AI, and quality engineering from the experts at Sauce Labs.#AI.

9 Mobile App Testing Strategies for 2025

The goal of any mobile product is to create an app experience that’s innovative and new. But you must accomplish specific, necessary steps between crafting a clear vision for your app and creating a mobile application which is where a mobile app testing strategy comes in. Today, mobile app testing encompasses a vast array of coverage areas, including functional testing, usability testing, performance testing, security testing, compatibility testing, and more.