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Regression testing tools for web applications help you ensure that updates to your code do not break existing features. They automate repetitive test cases so your team can release faster and with more confidence. Choosing the right tool matters. There are many automated regression testing tools and web app regression testing software available. Some focus on speed, some on cross-browser testing, and others on AI-powered features that reduce maintenance work.

Automation testing for websites is one of the fastest ways to improve software quality while speeding up delivery. It removes repetitive manual work and ensures that every release is tested thoroughly before going live. Effective automation testing becomes even more powerful when paired with a solid test management strategy. The benefits of test management in testing process include better organization, clearer visibility, and improved collaboration across teams.

In the last two parts of this series, we discussed How to Strengthen a ReAct AI Agent with Kong AI Gateway and How to Build a Single-LLM AI Agent with Kong AI Gateway and LangGraph. In this third and final part, we're going to evolve the AI Agent with multiple LLMs and Semantic Routing policies across them. In this blog post, we'll also explore new capabilities introduced in Kong AI Gateway 3.11 that support other GenAI infrastructures.

Today, we’re announcing the public preview of TCP Proxy — a new way to expose TCP ports publicly. Until now, services on Koyeb could only be publicly exposed via HTTP, HTTP/2, WebSocket, and gRPC protocols. TCP-based workloads were limited to private access within the mesh network for service-to-service communication. With TCP Proxy, that changes. You can now make any TCP service publicly accessible with minimal configuration.

Xray’s Requirement Coverage refers to how defined requirements inside a specific project are being validated by tests. Each requirement – whether Jira Story, Epic or Feature - should be connected to one or more test cases. When these tests are being executed and the results are being reported, the coverage status of the requirements automatically updates. Bottom line, only creating tests is not enough.

Ever noticed how you’re always getting relevant ads, whether you’re streaming on Netflix or shopping on Amazon? Or how sometimes, just thinking about something seems to make it appear on your phone? It feels like every application somehow knows what you’re thinking, serving up personalized suggestions with high precision.

When we officially launched our Model Context Protocol (MCP) server integration on June 12, 2025, we weren't just adding another feature - we were fundamentally changing how data engineers interact with their tools. One month later, the transformation has exceeded our wildest expectations.

At Bitrise, we continually invest in security best practices to ensure that our customer’s data stays safe and secure. As a part of an on-going effort, we are excited to announce that we’ve successfully completed our SOC 2 report. The examination was conducted by A-LIGN, a technology-enabled security and compliance firm trusted by more than 4,000 global organizations to help mitigate cybersecurity risks.

In a technologically dominated world, producing top-notch software isn’t merely a competitive edge – it’s a must. Whether creating a mobile application, a website, or a large-scale enterprise system, consumers anticipate that your software be secure, responsive, and flawless. That’s where Quality Assurance (QA) Testing comes in. It doesn’t just make your software work – it work well, do what users need it to do, and meet world-class standards of excellence.

Apache Parquet has become the de-facto standard for storing data used in analytics workloads, and has seen very broad adoption as a free and open-source storage format. When used as the underlying storage layer for Apache Iceberg, Parquet is also a foundational building block in modern lakehouse architectures, which enable warehouse-like capabilities on cost effective object storage. Let’s take a closer look at what Parquet actually is, and why it matters for big data storage and analytics.