Systems | Development | Analytics | API | Testing

Authentication is a critical element of any web application. The Ruby on Rails ecosystem has no shortage of solutions for this topic, as no authentication layer has been backed into the framework yet. Devise is a crowd favorite. Although it has ended up as the de-facto standard and sports many built-in features and great plugins (such as integrations with NoSQL databases, encryption, roles, and UID support), it works as a separate entity from your application.

Webpack has long been the dominant player in the JavaScript web bundler landscape. Over time, many competitors have gradually entered the arena, each offering unique features and improved performance. Among these newcomers, Rspack stands out with its innovative approach to web application bundling. Leveraging a Rust core, it provides high-speed, multithreaded code splitting.

Scrolling through the build log to find what caused your CI pipeline to fail isn’t fun. Or even spending hours inventing custom logic to automate workflows based on who triggered a build or what files changed? There might be a better solution. Enhanced Environment Variables have recently arrived – a suite of new variables designed to give you better control over Bitrise CI.

Monitoring Node.js applications effectively is no longer optional—it’s essential for ensuring performance, reliability, and a smooth user experience. With a range of observability and APM tools available, choosing the right one for your stack and team can be challenging. Whether you're tracking memory leaks, CPU spikes, or asynchronous bottlenecks, the right observability stack can save you hours of debugging and protect your user experience.

REST APIs are now the backbone of modern systems, powering 83% of APIs, while SOAP lags behind at 15%. Why? REST is faster, simpler, and better suited for today’s needs, including AI and MCP (Model Context Protocol). DreamFactory makes this transition easy with automated REST API generation, robust security, and scalability. Here’s what you need to know.

Organizations are increasingly adopting AI to make quick decisions, understand data, and automate processes. However, this innovation comes at the cost of navigating complex data and AI compliance regulations. While AI regulations are still evolving worldwide, existing privacy laws and regulatory frameworks already apply to AI implementations. These laws, such as GDPR, CCPA, and HIPAA, create a complicated landscape for businesses.

Imagine a world where you could deploy your API gateways across any cloud, enforce enterprise-grade policies, and meet compliance standards all within a single Terraform apply. Most teams think about infrastructure as code only in terms of spinning up VMs, networking components, databases, or maybe a Kubernetes cluster. But what if your API platform was just as programmable? With Kong’s Konnect platform and its support for Terraform, that reality is here today!

The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you’re building a dev tool that integrates with LLMs or enabling a context-aware API backend, standing up an MCP server is a rite of passage. But MCP is still in its early days and there are some sharp edges. Here are four practical shortcuts to fast-track your MCP server development so you can skip the boilerplate and get to the good stuff: intelligent tooling.