AI Testing Agents
for Web Apps
Wopee.io agents run the whole pipeline: explore, generate, execute, validate, maintain. You review.
No credit card required
Trusted by leading engineering teams
AI writes your code 10x faster. Who tests it?
AI coding assistants made shipping faster than ever. Testing didn't get the same upgrade. Until now.
The velocity gap
AI coding agents ship features in minutes. Writing test scripts manually slows down every release, and testing can't keep up.
The review bottleneck
Code review checks the diff, not the product. Your CI catches technical errors but misses broken user flows.
AI-generated regressions
Every AI-generated change can touch flows nobody wrote by hand. Re-testing dozens of user flows manually doesn't scale.
Wopee.io closes the gap. AI testing agents explore your app, generate tests, run them, and self-heal when the UI changes: a testing pipeline that keeps pace with your code.
Powered by world class AI and cloud partners
Why teams use Wopee.io as their AI testing tool.
Automated web testing powered by AI. Six ways Wopee.io removes traditional testing barriers.
Prepare tests in minutes, not days
Benefit from rapid authoring plus the execution speed of traditional automation, without the setup complexity.
Cover the paths others miss
Mitigate risks with comprehensive coverage. AI agents explore critical paths other testing methods miss.
Eliminate tedious test maintenance
Finding and fixing locators is yesterday's news. AI adapts tests to UI changes and updates scripts automatically.
Scale testing without scaling teams
Handle growing application complexity without adding headcount. Focus on delivering value, not managing tests.
Your tests stay yours
Every agent run emits deterministic Playwright code. Export it and run it in CI/CD without Wopee.io. Move away any time.
From URL to tests, zero coding
Enter your web app URL and agents start exploring immediately. No scripts, no selectors, no programming required.
Trusted by leading tech teams
Join the visionaries who chose Wopee.io to transform their testing.
Wopee.io autonomous testing is extremely valuable in testing our marketing & customer account pages.
Multitude, European provider of Digital Financial Services 400k+ customers in 20 countries
🚀 AI-powered web-app testing
First tests from a URL in minutes. A reviewed regression suite in days.
2–5x coverage over an 8-week pilot.
Paste your project URL
That's all we need to begin testing your application.
Takes 30 seconds:
- No complex configuration
- No test scripts to write
- No specialized expertise needed
- Works with any web application
Let our AI agents do the work
Our AI agents map your app, understand it, and create a test plan.
Takes 2-5 minutes:
- Process all information for our AI algorithms
- Identify critical paths and user journeys
- Automatically create test cases
- Convert your test cases into automated tests
Ship with instant insights
Get detailed regression and visual testing results in minutes, not days.
Instant results:
- Functional stability verification
- Visual consistency across platforms
- Detailed reporting and insights
- Actionable recommendations
Autonomy you can supervise
Autonomous doesn't mean out of control. The Interactive Cockpit keeps you in the loop for every run.
Watch it work, live
A live browser view streams every agent action as it happens.
Take over mid-run
Grab the mouse and keyboard any time. Hand back when you're done.
It asks before it guesses
CAPTCHA, MFA, or an ambiguous step: the agent pauses and asks you, with the reason and a suggested action.
Evidence for every run
Step-by-step activity logs, agent logs, and screenshots for every execution. Review what the agent did and why. No black box.
Plug Wopee.io into your testing stack
- Playwright
- Cypress
- Robot Framework
- Selenium
- WebdriverIO
Frequently asked questions
Our agents use a combination of customer context and advanced LLM workflows.
At a minimum, you provide a URL to the system under test.
We enrich this with additional context such as requirements, user stories, or existing test cases if available.
Our proprietary workflows use frontier LLM models together with our test design and prioritization methodology.
The result is an automatically generated test suite focused on critical user paths and high-risk areas.
The process is flexible. Both context and methodology can be customized per project or customer.
We support integrations with your existing tools on several levels.
- Playwright
- Cypress
- Robot Framework
- WebDriver-based frameworks
- Custom frameworks through open interfaces
- GitHub Actions as the primary integration
- Other CI/CD servers such as Jenkins, GitLab, Bitbucket, or custom enterprise pipelines
- GraphQL API for custom integrations and reporting
- Wopee MCP server for agent-based and LLM-based workflows
- Microsoft Azure AI / Azure Foundry
- OpenAI
- Google Cloud
- Anthropic
- Other providers on request for enterprise customers
Our documentation outlines the typical gains seen during pilot programs, including measurable improvements that teams can realistically achieve within an eight-week period. Explore real-world case metrics and recommendations for maximizing ROI.
Expect improvements in key testing metrics such as:
- Time to design and update test cases
- Time to execute regression suites
- Coverage of critical user journeys
- Effort required to maintain automated tests
The long-term goal is to deliver fully autonomous web testing.
In practice, the level of autonomy depends on:
- The quality and completeness of available (project) context
- The maturity of the customer environment and processes
- Specific domain and regulatory requirements
Today, many steps can run autonomously, but users still:
- Provide and maintain project context.
- Review and occasionally adjust generated tests.
- Decide which generated outputs are production-ready and which need refinement or manual editing.
- Review and decide about the overall test strategy and test results.
The more mature your inputs and methodology become, the less manual intervention is required.
Yes, parallel test execution is fully supported.
There is no hard technical limit on the number of parallel runs. Practical limits are defined by the subscribed plan and agreed infrastructure capacity.
In the cloud, we scale the number of available runners with usage and customer growth.
For enterprise deployments, the number and size of runners is configured individually.