Describe your test scenario in plain English. Ekara Flow AI instantly generates production-ready automation scripts — no coding, no record-and-playback, no technical expertise required.
"Log into the app, search for 'laptop', add the first result to cart, and proceed to checkout"
How it works
Flow AI transforms the way teams build codeless test automation. No recording sessions, no complex configurations — just describe what you want to test and let AI do the rest.
Write your user journey in natural language. No technical syntax required — just explain the steps as you would to a colleague.
"Go to the login page, enter test credentials, click submit, and verify the dashboard loads correctly"
Our large language model interprets your instructions, verifies URL accessibility, and identifies the optimal sequence of actions.
Flow AI converts your description into concrete, executable actions: clicks, keystrokes, waits, and assertions — all optimized and ready to run.
Your test script appears as ready-to-use blocks in Ekara Studio. Run it immediately, refine it, or schedule it for continuous synthetic monitoring.
No record-and-playback limitations
Unlike traditional codeless testing tools that rely on brittle recordings, Flow AI understands context and generates resilient scripts that adapt to UI changes.
Complete guide
Everything you need to understand no-code testing: concepts, approaches, market trends, and how to choose the right solution for your team.
Codeless test automation (also called no-code testing or scriptless automation) refers to the practice of creating automated software tests without writing traditional programming code. Instead of scripting in languages like JavaScript, Python, or Java, testers use visual interfaces, drag-and-drop editors, or natural language descriptions to define test scenarios.
The goal is to make test automation accessible to non-developers — QA analysts, business analysts, product managers, and domain experts who understand the application but don't have coding expertise. By removing the programming barrier, organizations can scale their testing efforts and involve more team members in quality assurance.
Key distinction
"Codeless" doesn't mean no code exists — it means the user doesn't write code. The tool generates the underlying automation scripts, which may be JavaScript, Python, Selenium commands, or proprietary formats. The abstraction layer handles the technical complexity.
Test automation has evolved significantly over the past two decades. Understanding this history helps contextualize where codeless tools fit and why AI-powered approaches represent the next frontier.
Tools like Selenium WebDriver, QTP (now UFT), and TestComplete dominated. Tests were written in programming languages (Java, C#, Python). Automation was the domain of developers or specialized SDETs (Software Development Engineers in Test). High barrier to entry, but maximum flexibility.
Tools: Selenium, QTP, TestComplete, Watir
A new generation of tools emerged promising "no code required." Katalon Studio, Ranorex, and Testim offered recording capabilities and visual editors. Adoption grew, but limitations became apparent: recorded scripts were brittle, breaking frequently when UIs changed. Maintenance costs offset initial time savings.
Tools: Katalon, Ranorex, Testim, Mabl, Perfecto
Machine learning began addressing the brittleness problem. Self-healing locators, visual AI for element detection, and smart wait strategies reduced maintenance. Tools like Testim, Functionize, and Applitools integrated AI capabilities. Tests became more resilient to UI changes.
Tools: Testim, Functionize, Applitools, Sauce Labs
Large language models (LLMs) enable a paradigm shift: describe tests in plain English, and AI generates the automation. No recording, no visual building — just human language. This approach combines the accessibility of codeless tools with the flexibility of scripted automation. Flow AI represents this new generation.
Approach: LLM-powered generation, natural language input, context-aware scripts
Not all "codeless" tools are created equal. The market includes fundamentally different approaches, each with distinct trade-offs. Here's a detailed comparison to help you understand the landscape.
Traditional automation using programming languages. Maximum control and flexibility, but requires developer skills.
Examples: Selenium WebDriver, Playwright, Cypress, Puppeteer
Capture browser interactions and replay them. Easy to start, but scripts break when UI changes.
Examples: Selenium IDE, Katalon Recorder, Ghost Inspector
Drag-and-drop builders with pre-built action blocks. More maintainable than recording, but still limited.
Examples: Testim, Mabl, Leapwork, Tricentis Tosca
Describe tests in plain English. AI interprets intent and generates resilient automation scripts.
Examples: Ekara Flow AI, emerging LLM-based tools
The maintenance trap
Studies show that up to 70% of test automation effort goes into maintenance, not creation. The initial time to create a test matters less than the ongoing cost to keep it working. This is why AI-powered approaches that generate resilient, context-aware scripts represent a significant advancement.
The codeless testing market is experiencing rapid growth as organizations seek to accelerate digital transformation while managing limited QA resources. Here are the key trends shaping the industry.
Demand for test automation engineers exceeds supply. Organizations need tools that enable non-specialists to contribute to testing.
CI/CD and DevOps require testing at the speed of deployment. Traditional scripted automation can't keep pace with weekly or daily releases.
Large language models and computer vision have reached production quality, enabling new approaches to test generation and maintenance.
Manual testing doesn't scale. Automation ROI is clear, but traditional tools require expensive specialists. Codeless solutions democratize access.
— Gartner, Low-Code Development Technologies Report"By 2026, 80% of low-code/no-code tool users will be citizen developers outside of IT departments."
With dozens of tools on the market, selecting the right one requires systematic evaluation. Use this checklist when assessing codeless test automation platforms.
Test automation has its own vocabulary. Here are the essential terms you'll encounter when evaluating codeless testing solutions.
See how Flow AI transforms natural language into production-ready test scripts in minutes.
Use cases
From login flows to complex checkout processes, Flow AI handles the scenarios that matter most to your business.
Monitor your entire purchase funnel — from product search to order confirmation. Catch payment gateway issues before customers do.
"Add a product to cart, proceed to checkout, fill shipping details, complete payment with test card, verify confirmation page"
Test signup flows, SSO integrations, password resets, and multi-factor authentication. Ensure new users can always get started.
"Register a new account, verify email confirmation link works, complete onboarding wizard, check dashboard loads correctly"
Validate critical banking operations: transfers, balance checks, statement downloads. Flow AI auto-encrypts all sensitive credentials.
"Log into banking portal, check account balance, initiate a transfer to saved beneficiary, verify transaction appears in history"
Test patient-facing systems: appointment scheduling, prescription refills, medical record access. Maintain HIPAA compliance with encrypted data handling.
"Access patient portal, search for available appointments next week, book a consultation, verify confirmation email is received"
Monitor flight searches, hotel bookings, and itinerary management. Ensure pricing displays correctly and reservations complete without errors.
"Search for flights from Paris to New York next month, select an outbound flight, add baggage option, proceed to passenger details"
Validate video playback, content recommendations, and subscription management. Monitor streaming quality across different regions.
"Log into streaming platform, search for a specific show, start playback, verify video loads within 3 seconds, check subtitles toggle"
Ekara ecosystem
Flow AI is one component of the Ekara Digital Experience Monitoring platform. Combine it with synthetic monitoring, real user analytics, and load testing for end-to-end visibility.
Combine Flow AI with these solutions for comprehensive coverage across your entire application stack.
See how leading organizations in your industry leverage digital experience monitoring.
Technical guides, best practices, and expert insights for QA engineers and DevOps teams.
Ready to get started?
In digital experience monitoring, creating user journeys is essential for proactive performance tracking. With our new Flow AI feature, it’s now simpler and faster than ever to build robust and reliable monitoring scenarios that protect the anonymity of your sensitive data.
Ekara Studio is a no-code environment that lets you create synthetic transaction monitoring scenarios without writing a single line of code. Now, with Flow AI, you can go from a simple idea to a ready-to-use script in just moments.
Simply use natural language to describe the user journey you'd like to monitor. For example: "Log into the application, fill out the login form, and click the 'Submit' button."
Our advanced AI, powered by a large language model (LLM), analyzes your request. It checks for clear instructions and the feasibility of the actions, including verifying URL accessibility and automatically encrypting sensitive information.
Flow AI converts your natural language into concrete actions like clicks and keystrokes. It even optimizes the journey by removing unnecessary steps to create a clear and efficient script.
The generated script is presented to you as ready-to-use blocks in Ekara Studio. You can immediately test it, refine it, or add it to a longer user journey.
To activate this feature, simply check the “Flow AI” box in the Ekara Studio Preferences modal.
With Ekara Flow AI, you can create, test, and deploy user journey scripts with unprecedented speed and ease, making your monitoring workflow more efficient and powerful.
Ready to dive deeper? Check out a practical example on the Ekara wiki: Ekara Studio Flow AI.
FAQ
Common questions about AI-powered codeless test automation
Codeless test automation allows teams to create automated tests without writing code. Instead of scripting in languages like JavaScript or Python, users interact with visual interfaces or, in the case of Flow AI, describe test scenarios in plain natural language. The tool then generates the underlying automation scripts automatically.
Traditional codeless tools rely on recording user actions in a browser, which creates brittle scripts that break when the UI changes. Flow AI uses a large language model (LLM) to understand your intent and generate context-aware, resilient test scripts. You describe what you want to test in plain English — no recording sessions required.
No. Flow AI is designed for anyone who can describe a user journey in plain language. QA analysts, product managers, business analysts, and developers can all create automated tests. The AI handles the technical complexity of generating clicks, keystrokes, waits, and assertions.
Flow AI works with any web application accessible via a browser. This includes e-commerce sites, SaaS platforms, banking portals, healthcare systems, booking engines, and internal enterprise applications. If your users interact with it through a web browser, Flow AI can automate tests for it.
Security is built into Flow AI's core. When you include credentials or sensitive information in your test descriptions, the system automatically encrypts this data before storing it. Passwords, API keys, and personal information are never stored in plain text, ensuring compliance with security best practices.
Absolutely. Flow AI generates test scripts as visual blocks in Ekara Studio. You can drag and drop to reorder steps, add new actions, modify selectors, adjust wait times, or extend the test with additional scenarios. The visual editor gives you full control without requiring code knowledge.
Synthetic monitoring runs automated tests continuously (24/7) from multiple locations to detect performance issues and outages proactively. Flow AI integrates natively with Ekara's synthetic monitoring platform, so the same tests you create can run on a schedule — every 5 minutes, every hour, or any interval you choose.
Most tests can be created in under 5 minutes. Simply describe your user journey, let the AI generate the script, review the output in the visual editor, and deploy. What traditionally took hours of recording, debugging, and refining now happens in a fraction of the time.
Yes. Flow AI can handle complex, multi-step user journeys including login flows, form submissions, file uploads, API interactions, conditional logic, and cross-page navigation. The AI interprets your entire scenario and generates a complete sequence of actions.
Request a demo to see Flow AI in action. Our team will walk you through the platform, show you how to create your first automated test using natural language, and discuss how Flow AI can integrate with your existing testing and monitoring workflows.
Request a demoStill have questions? Contact our team — we're happy to help.
© 2025 Ekara by ip-label – All rights reserved
Legal Notice | Privacy Policy | Cookie Policy
