How Treegress Is Redefining Automated Quality Assurance

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How Treegress Is Redefining Automated Quality Assurance
Treegress

Quality assurance (QA) testing is an essential part of modern business, but it can also be an arduous one. Even in the age of AI, purportedly "no-code" QA tools still rely upon a cumbersome amount of recording, scripting, and manual provision of baseline visuals from QA and software engineers. To this end, they have continued to be a source of incredible frustration for many. Fortunately, Treegress is striving to change all of that.

Treegress is redefining no-code quality assurance automation by first generating test cases with zero input and then by eliminating almost all maintenance. Instead, the company is offering a self-healing, AI-driven solution that understands applications on a system level, not just a surface one. With the upcoming release of its MVP program in July, the company is prioritizing predictability and system-level understanding of web interfaces, rather than relying solely on LLMs or vision-based ML models.

The Automation Fatigue Problem

Treegress founders Oleg Lola and Anna Karnaukh were inspired to start the company after sharing a common frustration with the slow, repetitive, and under-resourced nature of software testing, particularly in the fast-paced development environments of startups and outsourcing firms.

Anna, with over 10 years of experience in project and program management, consistently observed that testing was squeezed out of timelines, resulting in product delays, quality issues, and engineer burnout. She aimed to provide teams with a way to test faster without introducing complexity or technical debt.

Treegress's Tech Moat

Oleg, a seasoned entrepreneur and founder of MobiDev, has extensive experience in building scalable AI-powered systems. He recognized an opportunity to use AI not just as a tool, but as a teammate; something that could genuinely understand how a website functions and test it intelligently.

While some platforms integrate multi-modal LLMs, OpenCV, or machine learning for element recognition, Treegress is built on its proprietary DOM serialization and element recognition engine. It's designed with a deep understanding of how elements are meant to behave, enabling it to grasp not only what an element looks like but also its role and context within the DOM and application logic.

Treegress utilizes a method known as progressive degradation, in which each element is assigned a stack of locator strategies ranging from the most specific to the most adaptive. This facilitates authentic self-healing behavior, enabling tests to remain stable even as frontends evolve.

A New Paradigm: Autonomous QA

Treegress' work marks a shift from "automating test creation" to "removing the need to create tests entirely." MVP's industry-agnostic design sidesteps limitations of vision-based AI and LLM-only approaches.

What Sets Treegress Apart

• It handles JavaScript hydration, where HTML loads first and JS modifies the DOM afterward.
• It tracks real-time DOM mutations using mutation observers and event listeners.
• It detects non-semantic elements (such as div buttons) by observing JavaScript behaviors and inferring roles.
• When a script binds a click event to an untagged element, Treegress interprets that as intent and assigns proper roles in the test flow.

Instead of scaling up LLMs to "guess better,"Treegress has refined the understanding of each step. Its process is based on over two decades of QA and frontend engineering experience. Therefore, the core of the company's advantage lies in clarity, predictability, and long-term test stability as your product evolves. As a result, Treegress' system resembles an AI QA teammate more than just a technical tool.

Final Thoughts

In a few years, Treegress will be the go-to QA companion for fast-moving teams, an autonomous AI that understands your product, tests it like a real user and experienced QA, and catches issues before they reach production. It will replace hours of manual testing and setup with instant, intelligent feedback, built right into your workflow. Join the waitlist for the company's MVP program, launching in July, to ensure that you and your team have access to these revolutionary tools!

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