Systems | Development | Analytics | API | Testing

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 Have you ever asked a chatbot a question, only to receive an answer that was not only wrong but hilariously outdated?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.

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updated, stored separately from code, and thus often falls out of sync — have started slowing teams down and leading to outdated or inconsistent information.

As cybersecurity takes the main stage, organizations face a significant challenge: how do you strike a balance between maintaining a high level of security and ensuring employees have enough data access to perform their jobs properly? Role-based access control (RBAC) is a solution that can support both of these goals, even as organizations are quickly scaling.

AI systems are only as reliable as the testing behind them. Red teaming brings a fresh, proactive approach to testing by helping you spot risks early. Hemraj Bedassee , Senior Solutions Manager, AI Testing,

Managing API traffic comes down to two methods: rate limiting and throttling. Here's the key difference: rate limiting blocks requests once a set limit is reached, while throttling slows down or queues requests during traffic surges. Both methods help protect servers, ensure fair resource use, and maintain performance.

Many teams outsource web application testing to ship faster and free developers from test maintenance — without the cost and complexity of hiring in-house QA engineers. The right web application testing service can deliver on that promise. But most don’t. Instead, they introduce new issues into the testing process: Before outsourcing, ask how their testing service tackles these seven issues. In this guide, we show how our web application testing service, Rainforest QA, solves these problems.

Artificial Intelligence is transforming the world, but for those managing AI infrastructure, it can feel like they’re being consumed by complexity. AI solutions often promise automation, efficiency, and intelligent decision-making, but behind the curtain, DevOps teams and IT professionals are wrestling with an ever-growing, complex web of software challenges.

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.

AI coding tools are no longer a novelty. From startups to enterprises, developers are using them to accelerate development, auto-generate tests, and build products faster than ever. Some engineering teams claim they’ve become up to 10x more productive with the right AI coding tool in their workflow. To get a real-world understanding of how these tools are being used, we hosted a community discussion with over 70 tech leaders—CEOs, CTOs, and engineering managers.

Conventional testing methodologies falter where CI/CD performance testing triumphs. This revolutionary approach weaves performance validation intrinsically into your development lifecycle, transforming performance from an afterthought into a perpetual cornerstone throughout development. By vigilantly scrutinizing performance with every code alteration, you’ll preemptively neutralize issues before they cascade to users, ensuring flawless performance consistency across every release.