Systems | Development | Analytics | API | Testing

QualityKiosk and Katalon Launch Co-Lab: A Joint Innovation Lab Driving the Future of AI-Native Test Automation

We are pleased to announce the launch of the QualityKiosk–Katalon Joint Innovation Lab on October 15th, marking a significant milestone in our shared mission to advance the future of test automation and quality engineering. This strategic collaboration between QualityKiosk Technologies and Katalon reflects our commitment to empowering enterprises with prebuilt, next-generation testing and automation solutions designed to enhance agility, efficiency, and innovation.

How can testing integrate into the SDLC to ensure continuous quality without bottlenecks?

Integrating testing into the SDLC is a maturity journey. Start where you are, then move from mostly manual to automation best practices in CI/CD, and finally to pro automation that uses AI and tracks the right metrics. As maturity increases, you ship faster without bottlenecks because tests run in the pipeline and results drive decisions. — Gokul Sridharan, VP of Global Solutions Engineering at Katalon.

Metrics That Matter for Agentic Testing

Traditional test metrics like automation %, pass/fail rates, and defect counts don’t reflect the impact of introducing agents into the QA process. This blog explores a new class of KPIs designed to measure how well your virtual test team is performing including Agent Assist Rate, Human Override Rate, Scenario Coverage Delta, and Review Time Saved.

Designing Your Virtual Test Team

As organizations explore more advanced uses of agentic testing, a compelling vision emerges: a modular virtual test team composed of AI agents, each playing a focused role like Test Architect, Test Designer, Executor, and Summary Agent. While still early in real-world adoption, this model offers a way to coordinate intelligence at scale, with humans guiding the system and autonomy granted based on task risk and maturity.

Do all testers need to learn how to code so they can automate tests?

Not every tester needs to code. Treat automation as part of a wider testing strategy. Keep business and domain expertise front and center to decide what to test, then choose the approach that fits your team low code, record and playback, or full code. This lets domain experts automate without losing the value of their product knowledge, while coders tackle the complex parts.

Augmenting Coverage; Not Just Speed

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.

Get current URL in Selenium using Python: A complete tutorial

When working with web automation in Python, knowing how to get the current URL is essential. It helps you confirm where the browser is, catch unexpected redirects, and make sure your test steps behave as expected. The command driver.get("url") is what takes you to a page. But after that, how do you check if you're on the right one? That’s where driver.current_url comes in.

How can a TCoE standardize testing processes across different projects and teams?

A TCoE standardizes testing by setting a master strategy for the organization, then defining functional and nonfunctional playbooks and drilling into automation standards for UI, API, and mobile. Document locator strategy, object repository management, reusable keywords, and framework choices. With clear standards in place, the TCoE trains its teams and enables project squads to deliver consistently.