Systems | Development | Analytics | API | Testing

Low-Code Software Testing: How to Get Your Org on Board

Every business wants to mature rapidly. For software testing and QA professionals, terms such as low-code application testing, codeless tools, and automation will definitely ring a bell. From a market perspective, a product perspective, and especially a tech stack perspective, ensuring quality is critical in software development.

From Buggy Beginnings to AI-Powered Quality with Cristiano Caetano

Recently, I had the pleasure of sitting down with Cristiano Caetano, VP of Product at Katalon, to explore his journey in software testing. It was a path that began with frustration, evolved through innovation, and now looks toward an exciting AI-driven future. Cristiano's insights shed light not only on his personal career path but also on the broader evolution and future of software testing.

How did Katalon work with the customer, and what did success look like?

Katalon worked closely with the customer to set clear success metrics, benchmark their starting point, and build a roadmap to boost automation, reduce defects, and speed up releases. The outcome: far fewer weekend emergencies for the VP, major gains in automation coverage and quality, and a QA team that’s now more mature, and even adopting AI in their testing. — Daisy Hoang, SVP Revenue at Katalon Follow Katalon for more insights in our series!

What challenges was the customer facing before Katalon, and how were they testing then?

They struggled with constant production bugs, poor quality, and low automation, so much so that the VP of Engineering couldn’t unplug on weekends for fear the website might break. With only ~20% automation and frequent releases across web, mobile, and APIs, they lacked the coverage and resilience needed to prevent defects from leaking into production. — Daisy Hoang, SVP Revenue at Katalon Follow Katalon for more insights in our series!

What changed for the customer, and what was the final outcome?

They can now run large test suites quickly, execute at scale, and get consolidated reporting — all major improvements from where they started. The journey continues, but today they’re also using AI-driven test generation and tracking ROI, with Katalon adding features based on their needs. — Coty Rosenblath, Chief Technology Officer at Katalon Follow Katalon for more insights in our series!

Why do you think professional services is especially valuable for large organizations?

Professional services are especially valuable for large organizations because they move at your pace, navigate complex coordination, and tailor adoption across multiple teams. They also provide a smooth handoff to customer success, ensuring you always have expert support instead of being left on your own. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

What was the customer's journey like with Katalon, and how did we support them along the way?

They started with basic test automation using record-and-playback, then expanded into BDD and full automation with Katalon. As their test suites grew, we helped them scale, parallelizing tests, executing them faster, and consolidating reporting, making it easier to manage large volumes of tests and meet delivery requirements.

Katalon Product Roundup | December 2025

In December, we doubled visibility, control, and confidence across your quality lifecycle. In TestOps, a comprehensive set of new stability metrics and test case health reports brings far richer insight into why tests fail and what to do next. Rounding things out, new license utilization reports, expanded deletion options, and EU-region deployment give admins the governance and flexibility they need to scale. Let’s take a closer look at what’s new.

What's the value of not going through an implementation alone?

Getting support means reaching value and impact in days instead of weeks or months. Professional services bring proven expertise that accelerates adoption and makes teams the heroes, not the ones struggling to figure everything out alone. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

How do you plan to test 10x more code with the same old tools?

You can’t test 10x more code with the same old tools. As AI dramatically increases code volume and speed, traditional testing becomes a bottleneck. Teams need AI embedded across the entire testing lifecycle to scale testing, boost productivity, and keep releases moving fast without sacrificing quality — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!

Can you share what challenge the customer was facing before finding Katalon?

Many customers were struggling with BDD-style test processes — writing structured, English-language scripts that business and tech teams could agree on but couldn’t easily automate. Before Katalon, they lacked a smooth way to turn those scripts or raw requirements into automated tests, which Katalon (and AI features like Studio Assist) finally made efficient. — Coty Rosenblath, Chief Technology Officer at Katalon.

More code, more bugs, same team. So what's your plan?

The plan is to test earlier and faster to keep up with AI-generated code. By using AI-assisted, in-sprint testing and shift-left strategies, teams can catch issues sooner, scale testing with the same team, and maintain quality despite higher code volume. — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!

How do professional services speed up onboarding and build confidence and why is that valuable?

Professional services speed up onboarding by helping teams get maximum value fast: through setting clear expectations, calibrating the tool, and working side-by-side so users learn by doing. This builds confidence and leaves teams fully empowered, which is valuable because they can achieve meaningful impact quickly without relying on long-term vendor dependence. — Mush Honda, Chief Quality Architect at Katalon.

How is Katalon's approach to AI in software testing different?

Katalon’s AI approach is different because it builds on tools teams already use, adds AI without forcing process changes, and introduces novel capabilities like generating tests directly from real user behavior. It also applies AI across the entire testing lifecycle, creating a more complete and unified solution than most tools offer. — Coty Rosenblath, Chief Technology Officer at Katalon Follow Katalon for more insights in our series!