Systems | Development | Analytics | API | Testing

Agentic testing isn’t just about faster execution - it’s about uncovering what’s missing from your test suite. This blog explores a forward-looking model where AI agents help identify gaps in traditional, deterministic systems through techniques like scenario delta detection, data condition surfacing, edge path exploration, and test case obsolescence tracking.

This is the eighth post in a series about reasons to attend API Summit 2025. Check out the previous post here. The first time you push an API to production, you’re excited it’s finally live. You’re relieved that you can move on to your next big project. You’re also nervous. You’ve tested as much as you thought you should, but somewhere in the back of your mind is a whisper of, “What if I missed something? What if the commits are messy?

In our rapidly-changing digital world, companies are always searching for tools to enable automation for testing. Due to the increase in popularity of test automation, it is important to understand the pricing for testing tools. Whether you’re selecting a platform to help you simplify your QA process or determining how much to invest in test automation, pricing is an important factor.

It’s one thing to build an app. It’s another to make sure it actually works the way people expect – on real iPhones, in the wild, under all kinds of conditions. That’s where iOS app testing comes into play. Crashes, broken layouts… these are the kinds of things that can tank your reviews fast. If you want to avoid that, you need to test the app properly. And that’s exactly what we’re going to walk you through in this short guide.

In engineering, we talk a lot about technical debt — the shortcuts and compromises made in code that pile up over time. But there’s another kind of debt that’s just as dangerous and far more invisible: QA debt. QA debt is what happens when testing isn’t given the same attention as features, architecture, or performance. It’s the accumulation of missed edge cases, outdated test suites, incomplete automation, or skipped regression checks.

Node.js 22 has entered into Long-Term Support (LTS) phase, a critical milestone that signals its stability and readiness for enterprise-level deployment. This release represents a significant push toward dependency elimination, core performance optimization, and enhanced developer experience.

Disclaimer: All of the opinions stated in this blog are my own and do not represent official Gartner opinions on the API Management and Integration markets or the Magic Quadrant report itself.

Whether for frontend or backend, testing is a key aspect of building trustworthy JavaScript applications. For example, when writing code that relies on external modules or services such as APIs, databases, or configuration providers, mocking can allow for a more isolated testing structure without those real dependencies. If you are using Jest, one of the most popular JavaScript testing frameworks, then you may have seen the term mock.

Every boardroom in any company that is transforming its systems should be asking the same question: How long before our next ERP release? When that timeline stretches because of QA delays, the consequences are not just technical – they are strategic. Release schedules slip, budgets escalate, and stakeholders begin to lose faith. Quality assurance is not merely a phase. It can be the difference between being a market leader and lagging.