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Assertion errors in Java are like your code's internal alarm system. When an AssertionError goes off, it signals that a fundamental assumption you made about your program's state is no longer true. It's your code telling you, “Hey, this isn't supposed to happen!" Unlike exceptions that might handle predictable runtime issues (like a file not found), an AssertionError specifically flags a breakdown in your code's internal logic or design assumptions.

Today, we're excited to officially release the Asgardeo MCP Server, enabling developers to securely manage their Asgardeo organizations using natural language—right from their favorite code editors like VS Code, Claude Desktop, Cursor, Windsurf, and other MCP-compatible clients. Asgardeo already supports Login Flow AI and Branding AI, making it easier to build secure, customized login and registration experiences using plain language.

The rise of large language models (LLMs) and AI-powered applications brings incredible potential, but also poses significant security challenges. These applications have gotten much more useful with the emergence of agentic approaches and the ability to call out to different libraries, systems, and most importantly, to different APIs in order to take actions. They have moved from being a question answering resource to being able to do work, shop on your behalf, book travel, and update code.

Long polling and WebSockets are two common techniques for delivering realtime data. While both have been used successfully in production systems, they differ significantly in how they perform, scale, and integrate into modern architectures. This guide compares long polling vs WebSockets to help engineering teams and technical decision-makers choose the right approach for delivering realtime experiences reliably and at scale.

Nowadays, efficient and integrated testing tools are essential for delivering quality quickly. Forrester's 2025 Total Economic Impact of Xray report illuminates how Xray helps organizations streamline testing processes, improve collaboration, and gain significant cost savings.

You may have noticed that the phrase “Let’s take that offline” is gradually being replaced by “Let’s connect async.” Both expressions are a type of white flag, surrendering to the reality that a tricky issue needs to be resolved in a private conversation rather than in a group call. It’s often music to the attendees’ ears because it means the meeting is almost over.

Oracle Cloud applications offer powerful capabilities, but testing them effectively is far from plug-and-play. Many organizations stumble into costly pitfalls during implementation due to the complexity of their business processes, gaps in test coverage, and inadequate planning. Based on our extensive experience in Oracle Cloud Testing, here are the top 5 pitfalls we’ve seen – and how you can avoid them.

Effective quality assurance in Oracle Cloud demands a structured, module-specific automation strategy. From ERP to HCM and CX, aligning test automation to business functions can accelerate test coverage, improve defect detection, and optimize costs.

In today’s fast-evolving Oracle Cloud environments, organizations must strike a balance between agility and compliance. While agility calls for rapid adoption of Oracle Cloud updates, evolving business processes, and dynamic integrations, compliance demands strict adherence to organizational policies, governance standards, and regulatory requirements. Quality Assurance (QA) bridges this divide—enabling innovation while managing risk.

In today’s fast-paced development environment, automatically generating tests has become a necessity. Tools leveraging AI, manual interventions, and live environment captures facilitate this process. For instance, k6 focuses on load testing, generating automated tests with minimal maintenance. On the other hand, AI generative tools like GitHub Copilot, Bard, and ChatGPT can produce many tests, though often with redundancy.