How does it work at a high level?

Teams enter a URL to analyze the product, review and approve autogenerated test cases, run tests, and review results. Agents plan, execute, and verify runs while the self-healing layer adapts to UI changes.

What measurable results did the system achieve?

Up to 8× faster regression cycles, ~30% QA hours saved, 98% success rate in QA runs, and $2.5K–$4K savings per engineer monthly.

How does the system reduce human intervention?

Agents handle test creation and verification. A self-healing mechanism monitors UI changes and switches locators automatically, reducing manual script maintenance.

AI Agent System for Software Testing: Saving $4K Per Engineer Monthly

Q: What problem does the AI agent system address in QA?

Manual testing dominates and is time- and budget-intensive. Legacy automation still needs constant human monitoring, creating hidden time drains and cost overruns.

Q: What is the multi-agent QA automation system?

A system with two AI agents—one generates test cases (RAG-enhanced), the other verifies results—integrated with a Website Analysis Engine, Self-Healing Engine, and Test Management System to minimize human intervention.

Q: What technologies were used?

Object Detection and LLM APIs with AI agents and RAG; NodeJS, Express, Playwright, BullMQ; ReactJS; Jenkins; AWS (EC2, S3); PostgreSQL, Redis; Docker and Docker Swarm.

Build smarter, work less. Treegress Software Testing Automation System helps companies cut QA hours by 30% while retaining an exceptional 98% of accuracy. All due to the combination of multiple AI agents into a system that plans and acts with minimal input from humans.

Ready to unlock the full potential of AI-powered automation? Read the use case and learn how MobiDev built multi-agentic testing tool.

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Learn from the real-world use case

With the cutting-edge Software Testing Automation system that smartly utilizes multiple AI Agents to cut development budgets:

AI Generation
of Testing Cases

Automated
Test Run

Error Analysis
& Self-Healing

TESTIMONIAL

It’s a real pleasure to work with the MobiDev engineers. They are not simply following a well-defined plan. They are defining the best path to achieve the outlined business goals. Since each team member is, in fact, a potential user of the product, it’s amazing to collaborate when everyone reflects on what’s truly important in the software so they can trust it themselves.

Anna Karnaukh

Co-Founder of Treegress

AI Agent System for Software Testing: Saving $4K Per Engineer Monthly

Learn from the real-world use case

TESTIMONIAL

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full access to the use case

FAQ

What problem does the AI agent system address in QA?

What is the multi-agent QA automation system?

How does the AI agent system reduce human intervention?

What technologies were used to build the AI agent?

What measurable results did the AI agent system achieve?

AI Agent System for Software Testing: Saving $4K Per Engineer Monthly

Learn from the real-world use case

TESTIMONIAL

Fill out the form to get full access to the use case

FAQ

What problem does the AI agent system address in QA?

What is the multi-agent QA automation system?

How does the AI agent system reduce human intervention?

What technologies were used to build the AI agent?

What measurable results did the AI agent system achieve?

Fill out the form to get
full access to the use case