Systems | Development | Analytics | API | Testing

If you take a step back and think about today’s software development landscape, you could argue that documentation is just as important as the code itself. That’s because traditional documentation workflows — where documentation is manually updated, stored separately from code, and thus often falls out of sync — have started slowing teams down and leading to outdated or inconsistent information.

When was the last time your AI assistant confused a memo from the CEO with 'Game of Thrones' plot lines? Have you ever asked a chatbot a question, only to receive an answer that was not only wrong but hilariously outdated? Imagine asking about the latest iPhone model and getting a response detailing the iPhone 3G. We've all had moments where technology gives us a chuckle—until it's crunch time.

Rails 8 shipped with a bold premise: “No PaaS Required.” As cloud platforms have grown more costly, Ruby on Rails has shifted to reducing external infrastructure dependencies so that developers can deploy and run applications with fewer ever service dependencies. Traditionally, deploying a Rails app to the internet has meant provisioning a database server (e.g., PostgreSQL) and additional services like Redis for caching, background jobs, or WebSockets.

Managing multiple apps with different store accounts just got easier. Bitrise Release Management helps developers distribute apps efficiently, whether delivering internal builds or publishing to the App Store or Google Play. It’s built to support teams at scale, with teams relying on it to release hundreds of apps across different platforms and accounts.

With the release of WSO2 Identity Server 7.1, WSO2 continues to lead with innovation in the open-source identity space by introducing AI-powered development capabilities. The new features introduced, enable developers to secure applications more efficiently using natural language instructions, reducing time, effort, and the required identity domain expertise.

Databricks helps companies process large-scale data, and Databricks data masking ensures high-quality, compliant data. If your organization relies on data for AI/ML or analytics, it’s essential to ensure you are implementing a robust, compliant data masking strategy. Let’s explore how data masking works natively in Databricks. Then, we’ll go over challenges teams might run into in using native masking capabilities.

DreamFactory's GitHub repository turns 10 this month, marking a decade of innovation in API generation. To commemorate this milestone, we'll be launching our new MCP Server along with new Attribute Based Access Controls (ABAC) and a Command Line Interface (CLI) to help every organization make the leap into the AI era.

Over 70% of enterprise data is stuck in legacy systems - making automation a challenge. DreamFactory and Zapier solve this by connecting outdated databases to modern tools, enabling businesses to unlock their data and automate workflows.

MISRA C:2025 has just been published! What does this mean for organizations that rely on MISRA guidance for developing safety-critical systems? In this blog, we give an overview of the new release and what it means for your team.