Watch Accelerate Testing With AI That Builds Test Environments for You
Testing slows down when services you depend on aren’t ready, are unreliable, or aren’t easy to access. Service virtualization helps by simulating those missing or unstable dependencies—so you can keep testing, find issues sooner, and release faster.
The challenge? It’s often too technical to scale without developer help. Until now.
Watch to see how you can use this agentic AI-powered assistant to make service virtualization easy and fast for your team—no coding or deep expertise needed. Just describe what you need in natural language, and this industry-first AI builds the virtual service for you.
Accelerate Testing With AI: How AI-Powered Test Environments Save Time and Stress
In this webinar our product and engineering team discuss how AI is changing the game for QA teams. Instead of sweating over test environment headaches, teams can now use AI to whip up virtual services in minutes—no coding or specialist needed.
Key Takeaways
AI cuts out test environment bottlenecks by spinning up virtual services fast
No specialized coding knowledge required—plain natural language instructions work
More defects found earlier, and time to market goes up
QA teams no longer need to rely on development support to adopt and scale service virtualization
Setting up a proper test environment always sounds simple, but anyone who’s done it knows the pain is real. Here are a few ways testing gets tripped up:
Parallel Development Headaches: APIs and back-end services aren’t ready? That puts testing on pause.
External Integrations: Services that cost money or are unreliable in uptime get in the way.
Shared Environments: Teams sharing a system clash over data or step on each other’s toes—hello, false alarms.
Negative Test Scenarios: Want to check how your app handles errors? That’s tough when you can’t control the back-end.
Performance Testing: Big, life-like environments cost a fortune and are hard to manage.
Put simply: Every time your application depends on a service that isn’t ready or available, testing grinds to a halt. Impacted schedules, missed bugs, and slow releases pile up.
Service virtualization, by simulating those pesky dependencies, has helped companies get ahead. But until now, setting it up usually meant developer time, complex configurations, and lots of back-and-forth.
Why Service Virtualization Isn’t Everywhere Yet
Even with these wins, many industries haven’t jumped on the service virtualization train. Why?
It’s seen as too technical, needing developer skill sets and careful setup and configuration.
Most tools are made for—guess who—the development team, not testers.
That means QA still waits for devs, and test delays keep happening.
The AI Assistant: Puts the Power of Simulation in QA Hands
Agentic AI now makes all this easier.
Instead of coding, testers just tell an AI Assistant, in plain natural language, what they need:
“Help me create a virtual loan service.”
“Set up data so I can test a denied loan response.”
That’s it. No more wrangling with scripts, configs, or begging the devs for help. Parasoft’s Agentic AI understands the testers intent, uses the right tools, and generates data-rich virtual services to keep your testing on track.
Real demo highlights:
An example with a demo banking app: Live service goes down? The AI Assistant deploys a learning proxy that then records transactions and generated virtualize services. When live services go down, switches to testing against virtual services automatically.
Watch an example of how to generate a data-rich virtual service, by simply describing the service you want to simulate in natural language to the AI Assistant.
Changing behavior is dead simple: Want a service to deny loans based on specific numbers? Type your logic. The AI Assistant builds the data and sets the rules.
It even handles weird, negative, or error-filled scenarios—helpful for edge cases and rainy day testing—without writing code.
More Features Tailored for Modern Testing
Parasoft isn’t stopping there. The team is rolling out new AI-backed tools:
AI Asserter: Uses natural language to set up test validations—a relief for anyone tired of gnarly XPath expressions or struggling to validate AI generated variable outputs.
AI Data Bank: Makes data extraction easier by describing your test scenarios needs in natural language.
Multiple Service Definitions: Soon, testers will be able to spin up end-to-end tests that run across a bunch of APIs contained across multiple service definition files.
Support for AI-Infused Apps: With support for testing and simulations MCP servers, teams can efficiently validate these intelligent systems.
Why It Matters—For You and Your QA Team
No More Waiting: Testers don’t have to wait for development support or learn a bunch of new tools.
Faster Releases: Services go up immediately, so those sprints won’t get derailed.
Better Coverage: It’s finally practical to test negative and edge cases.
Scalable: With natural language based generation, QA teams of any skill-set can adopt and scale service virtualization to solve their environment challenges.
Ready to Try It?
Parasoft’s Virtualize AI Assistant is just the start. As more teams try it out, the time savings and calmer testers add up. And if your team’s still fighting with test environments or holding up releases because of dependencies, it might be the right moment to let an AI lend a hand.
And for the skeptics: you don’t have to believe the marketing. Schedule a demo, see how it works against your own setup, and judge for yourself. Software testing just got a lot less painful.
