Systems | Development | Analytics | API | Testing

AI is more than just a buzzword now - it's becoming an integral part of various processes, including software testing. But how effective is it really, especially when applied to the dynamic nature of Exploratory Testing? In this webinar, Sérgio Freire stated that he recently experimented with leveraging AI in his own Exploratory Testing sessions and discovered both promising applications and significant limitations.

Building financial software today isn’t just about writing clean code; it’s about getting a hundred complex things right at once. You’re dealing with strict regulations, sensitive customer data, real-time performance demands, and growing pressure to innovate fast. One misstep can mean compliance issues, security risks, or lost trust. If you’re wondering how to build something that’s not just functional, but truly secure, scalable, and audit-ready, this blog’s for you.

Constructing software is like creating a house. You certainly wouldn’t want to build your home with any brittle or cracked bricks, right? Similarly, your “bricks” are your code components. By testing each of them individually, you can detect defects sooner rather than later, and there’s less chance of everything collapsing during assembly. And this is where component testing comes in!

At Countly, we’re passionate about empowering businesses and developers with analytics that work everywhere - even when the internet doesn’t. In a world where applications and devices don’t always stay connected, we’ve built robust capabilities to track user behavior and performance, no matter the scenario. From IoT gadgets in remote locations to industrial systems in secure facilities, we ensure you never miss a data point.

In today’s data-driven environment, there is truly no end to the overwhelming amount of information that both contributors and users have access to. People often spend hours combing through logs trying to piece information into usable goods. This turns what could be swift, data-driven decisions, into time-consuming challenges that slow down innovation.

We understand new concepts by linking them to familiar ones. These analogies aren’t just helpful; they’re how we think. For me, that something familiar is chess, and I’ll use it to explain some of the core ideas behind stream processing—a concept that requires a shift from seeing tables as static snapshots to treating tables as materialized projections of a continuous stream of changes.

In-app chat has gone from a nice-to-have to an essential product feature across gaming, SaaS, social, and live streaming apps. While it’s tempting to treat it as “just another feature,” the reality is that building chat touches nearly every layer of your stack - from low-latency delivery and message ordering to presence, typing indicators, moderation. And then there is operating at scale to consider.

Did you know that over 75% of cybersecurity incidents now involve APIs? Protecting data in transit is no longer optional - it’s a must. Here’s how encryption safeguards your API communications and why it’s critical for your business.

In insurance, the claims process is the real “moment of truth.” It's when customers find out if their insurer is truly there for them. They don’t just want fair treatment—they also expect their claims to be handled quickly and easily. But the reality? Claims often take way too long because of outdated, clunky processes. And the growing tsunami of data needed to adjust a claim can create information overload for an adjuster.