Systems | Development | Analytics | API | Testing

A practical definition of the discipline that proves a release is ready to ship, backed by evidence instead of opinion.

Claude Code shipped workflows: reusable, versioned instructions an agent can follow instead of improvising a process from scratch each time. We used that feature to hand Claude Code our entire QA job. Not "write a test case." The whole loop: read the requirement, design the coverage, run it on the platform, file the defect, report back with evidence. The kind of work a QE does in a day, compressed into one skill triggered with a sentence.

APIs are the backbone of modern software. They connect microservices, power mobile experiences, and make integrations possible across industries. For all their importance, API testing remains one of the most fragmented, manual, and maintenance-heavy parts of the software development lifecycle (SDLC). So as development accelerates in an AI-disrupted SDLC, application integrity – continuous, measurable assurance that your software just works as intended – becomes harder to maintain, not easier.

AI can now handle the slowest parts of test management, inside Jira. – The Zephyr Agent for Rovo creates test cases and links them to your work items, in the projects where your team already plans and builds. This guide covers how testing is changing in the AI age, what the agent is, where to find it, and how to run your first task.

At some point a product manager or a designer is going to turn to the most user-focused person on the team and say: can you run a usability test on this? That person is usually a manual tester, because manual testers already spend their days thinking about how real people use software.

Ask an AI for K-pop concert advice without saying the group, city, date, or budget. It may confidently send you to a BLACKPINK tribute night in Cleveland with a $400 resale ticket. The AI was plenty confident. It just had nothing real to go on. That is exactly what happens when developers test AI applications with invented traffic. The test may look reasonable. The result may even pass.

Creating test reports is an essential part of software testing, but manually compiling information from Jira can quickly become repetitive and time consuming. Whether you're preparing evidence for an audit, sharing release progress with customers, or documenting test coverage, reporting should help your team, not slow it down.

May 2026 marks a turning point for how QA teams think about automation. This month's releases push Katalon True Platform closer to a world where you describe what you want to test, and the platform handles the rest: from generating test cases to running them, then handing you a ready-to-use script. Here is everything that shipped in May.

AI made writing code effortless, but verifying it became the hardest job in software. So we rebuilt Sauce Labs around release assurance to close that gap.