Systems | Development | Analytics | API | Testing

Enhanced Environment Variables in Bitrise for intelligent automation

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.

4 Tips for Developing Model Context Protocol Server

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.

Test sharding: elevate code quality without slowing down your team

Sometimes teams avoid introducing more tests (particularly UI tests) because they fear slowing down their CI pipeline. Should you have to sacrifice software quality for the sake of fast cycle times? Absolutely not. So, how can you introduce more tests without slowing down your CI pipeline? The answer: employ test sharding. In this post, we’ll dive into what test sharding is and why you should consider it.

Ep 6 - From Roadblocks to Results: How Shared Vision Drives Data Streaming Success

Whether you're an executive setting the strategy or an architect building the backbone, alignment is the key to turning transformation from a buzzword into results. Rick Hernandez, principal technical architect at EY, shares how to unlock shared vision and turn it into enterprise-wide data streaming success. In this episode, Rick joins Joseph to explore how organizations can connect leadership ambition with technical execution. Exploring how top-down buy-in, clearly defined objectives, and strategic alignment with the right technology can give your organization “wings to a tiger.”

What Is RAG? Guide to Retrieval-Augmented Generation in AI

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 Have you ever asked a chatbot a question, only to receive an answer that was not only wrong but hilariously outdated?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

From Complexity to Control: Overcoming DevOps and IT Leaders' Biggest AI Infrastructure Software Challenges

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.