February brings a wave of upgrades across the Katalon platform to help you test smarter, not harder. From deeply customizable analytics dashboards and native release management in TestOps, to AI-driven API test generation, self-healing, and a modernized Studio 11 runtime, this month focuses on visibility, stability, and speed at scale. You’ll find new options to manage Studio projects in TestOps without Git, richer reporting on KSE Floating usage, expanded MCP tools for WebUI, and new AI capabilities like Web Recording Agent, Agent Profiles, and Studio Tracer to standardize and accelerate how teams build, run, and debug tests.
Custom dashboards give teams full control over how they visualize quality and delivery metrics in TestOps. Instead of relying solely on predefined views, you can now curate dashboards tailored to sprints, teams, initiatives, or specific stakeholders, and organize analytics from a single, centralized library. Dashboard-level filters and widget inheritance keep your reporting consistent and easy to maintain.
Why it matters: You get the exact views your teams and executives need—without exporting data, stitching reports in spreadsheets, or jumping between multiple analytics pages.
What’s new
Learn more: Create Custom Dashboard
Zip repository upload lets teams use TestOps test management and execution workflows even without Git integration. Simply upload Katalon Studio projects as Zip files, and TestOps will securely process, index, and make your tests available for instant or scheduled runs with full analytics.
Why it matters: You can centralize execution and reporting in TestOps, whether or not your teams have Git set up, reducing onboarding friction and simplifying project management.
Highlights
Studio MCP server now ships with an expanded MCP toolset for WebUI testing and test data management. You can orchestrate browser-based tests and manage internal test data directly through MCP, reducing the need for custom integrations and one-off scripts.
Why it matters: More MCP coverage means less custom code, better reuse, and easier integration with your existing DevOps and tooling ecosystem.
What’s new
AI API test generation now builds richer API tests straight from your OpenAPI specification. You choose the kinds of tests you want—positive, negative, security, and edge Cases—and Studio uses your configured StudioAssist AI provider to generate, run, and then save those tests into your repository.
Why it matters: You can quickly go from zero to broad API coverage in just a few clicks, dramatically cutting the effort required to author and maintain API tests.
Highlights
Guide here: AI API Test Generation
AI Self-Healing keeps your web and mobile tests stable when the UI shifts. When a locator no longer matches, AI analyzes the page or app—considering structure, visuals, and attributes to infer the intended element, generate an updated locator, and keep the test running.
Why it matters: Maintenance overhead drops, flaky failures are reduced, and large suites stay reliable as your applications continuously evolve.
Capabilities
The Smart mobile recorder with interactive mode delivers a web-recorder-style experience for mobile testing. You interact with a live device preview—taps, swipes, and text inputs—and Studio converts those interactions into structured test steps.
Why it matters: Mobile automation becomes more visual and intuitive, helping teams ramp up faster and build reliable mobile flows with fewer manual edits.
What’s new
The new web recording agent turns web recording into an AI-assisted authoring experience. You can describe test scenarios in natural language, and the agent translates them into clear, executable test steps and test cases.
Why it matters: Teams get started with web automation faster, flows are easier to follow, and less hands-on support is required to adopt and scale web test automation.
What’s new
StudioAssist agent profiles let you define reusable AI “agents” for different testing scenarios, each with its own system prompt and MCP server configuration. These profiles can be shared across teams and projects so everyone benefits from consistent, domain-aware AI support.
Why it matters: AI-generated tests become more predictable and aligned with your standards, while teams avoid repeating the same instructions and setup for every session.
What’s new
Katalon Studio tracer acts like a diagnostic “flight recorder” for your automated tests. It captures a rich, step-by-step record of execution—actions, timing, screenshots, DOM snapshots, network and console logs, and packages it into a trace file you can replay when investigating issues.
Why it matters: Troubleshooting becomes faster and clearer, giving you precise visibility into what happened at each step when a test fails or behaves unexpectedly.
Highlights
Katalon Studio 11 introduces an automated migration flow for projects built on Studio 10.x. The new “Migrate from Studio 10.x to 11.x” option helps teams upgrade quickly, including migrating BDD projects from Cucumber 3 to Cucumber 7.
Why it matters: Teams can adopt Studio 11 and its modern frameworks faster, with fewer manual edits and less risk of migration errors.
Capabilities
Katalon Studio 11 upgrades its underlying technology stack to keep pace with modern frameworks and enterprise security requirements. The runtime now uses Java 21, with Cucumber upgraded from 3 to 7, plus updated Selenium and Appium libraries for web and mobile testing.
Why it matters: You benefit from improved performance, compatibility, and security, while unblocking teams that need newer framework versions to integrate with their evolving applications.
Capabilities
Learn more: How to migrate?
Native release management lets you create, track, and manage releases directly in TestOps, independent of external ALM tools. You can define releases, control their status and lifecycle, visualize them on a timeline, and link them to testing artifacts for more integrated planning and reporting.
Why it matters: Release planning and QA alignment stay in one place, improving traceability and coordination even if you don’t use—or don’t want to depend on—external ALM systems.
Capabilities
Guide here: How to add releases?
For a complete list of updates and fixes, visit:
Last month's updates focus on making end-to-end quality engineering more observable, maintainable, and accessible. These enhancements work together to help you deliver reliable, AI-augmented test automation at scale. Happy testing!