QA Wolf engineering lead Yurij Mikhalevich and host Caleb Masters sit down to share their findings on how to choose the right AI tools for testing.

70% of teams say they lack the skills needed to get the most out of AI testing tools. Join this webinar with Sebastian Antonucci to upskill QA teams for AI in 2026.

QA Wolf Senior Director of Engineering Eric Eidelberg cuts through the hype to discuss how AI is changing the way engineering leaders approach QA by expanding influence, redefining roles, and driving higher-value contributions.

Staff Product Engineering Lead Jaden Lemmon reveals how QA Wolf built a physical iOS device farm to help customers reach 80%+ test coverage for their iOS mobile apps. Watch this webinar to go behind the scenes.

Device farms reuse hardware to cut costs, but that breaks test stability. QA Wolf built a new system: real devices, clean state, no flakes. Learn how we deliver fast, reliable mobile test automation across Android and iOS.

The thing about pricing models is that they always seem to make sense, until someone comes around and does something a little bit different. 

QA Wolf co-founder and head of growth, Scott Wilson, reveals the hidden costs of hourly billing in test automation. In this webinar, you'll learn how the size of your test suite and test frequency can drastically affect your total cost of ownership (TCO).

QA Wolf co-founder and CEO Jon Perl demonstrates how the QA Wolf team has transformed what’s possible in QA automation with our three pillars of proprietary tech.

Watch this webinar to see how Golden Datasets fall short in real-world AI projects. Discover how random sampling boosts model adaptability, cuts costs, and ensures reliable, up-to-date performance.

Join this webinar to explore smarter ways to measure AI session performance with LLMs. We focus on key tasks using weighted scenarios and dynamic metrics, ensuring real-world accuracy and helping you improve performance.

Learn why QA Wolf built a custom LLM Orchestration Framework over LangChain or LangGraph, focusing on flexibility, customization, and robust type safety.

We redefine automated test maintenance by using specialized bots for accuracy and efficiency. Here’s how our agents apply that to deliver reliable QA testing.