Systems | Development | Analytics | API | Testing

AI code created a new testing problem | From the Bear Cave Ep. 3

SmartBear’s study Closing the AI software quality gap found that 60% of teams have already experienced quality issues tied to AI-generated code, evidence of how increased abstraction is changing how software gets built. When development shifts from well-defined requirements to prompts and generated outputs, it becomes much harder to understand what the system is actually supposed to do, and what you should be testing against.

The 8 Best API Documentation Examples | DreamFactory

Last Updated: May 2026 Your API documentation is just as important as your API itself. It defines how easy it is for users to learn, understand, and use your open-source or paid product. In this post, DreamFactory highlights eight of the best API documentation examples from well-known tools. These examples can serve as inspiration for creating effective, developer-friendly API documentation.

How a Marketing Intern Ended Up Running Claude in a Terminal

Before I ever ran Claude in my terminal, I thought I already understood AI tools pretty well. Like most people, I had used ChatGPT, Google Gemini, and Perplexity for everyday tasks. Such as helping with schoolwork, organizing ideas, summarizing information, or getting through something faster when time was tight. They were useful, but they still felt separate from how real work happened.

Beyond API management with DreamFactory | Dreamfactory

API managers are often used to expose REST APIs to an internal or external group of developers. An internal group of enterprise developers might use a catalog of API services as a starting point for software development projects. An external group of partners might use the APIs for integration with their backend systems. In some cases, partners might use the APIs to purchase goods, services, or information.

New Zephyr Skills for Rovo: AI-powered test management in Jira | Zephyr

Release day shouldn't mean chasing answers across Jira. SmartBear Zephyr is the Jira-native testing system of record that empowers your team to deliver better software, faster. In this demo, see how Zephyr Skills for Rovo bring test management and automation insights directly into Jira. Connect planning, testing, and delivery in a single, unified workflow within the Atlassian system of work so your team can make faster, more confident release decisions.

Multi-Version API Management for AI Workflows | DreamFactory

Last Updated: May 2026 Asking the right questions when building an API for AI systems is critical, especially when updates risk breaking existing integrations. Here's the deal: API versioning ensures your AI workflows stay stable while introducing new features. By supporting multiple API versions, you can test updates, maintain compatibility, and avoid disruptions.