"Established a unified infrastructure seamlessly combining UI, API, and DB layers. A robust, stable project that delivers consistent results."
Engineering Quality at Scale.
We help engineering teams migrate to Playwright and build stable, flake-free automation infrastructure that engineers actually trust.
How We Help You Scale
🏗️ Legacy Migration & Architecture
Stuck with flaky Selenium tests? We architect and execute a safe migration to Playwright, building a robust, strictly-typed TypeScript infrastructure.
🛡️ CI/CD Pipelines & Quality Gates
Stop bugs before they merge. We integrate automated quality gates directly into your pipelines, ensuring only production-ready code gets deployed.
🎓 Team Mentoring & Training
Don't just hire a consultant; upgrade your team. We train your engineers on advanced Playwright patterns and clean code principles.
Trusted by Engineering Leaders
Real results from teams who transformed their testing infrastructure
"Helped us define our foundational workflows with precision. Brought deep professional experience and a practical approach that accelerated our progress without friction."
"The Python/Data pipeline implementation exceeded expectations. The architecture was clean, scalable, and maintainable—delivering exactly the engineering solution we needed."
Key Insights
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The Agentic Revolution: Why Test Automation is the First Frontier of Autonomous AI
Published:The industry is shifting from 'Copilots' to 'Autonomous Agents'. We look at the macro trends from enterprise leaders like UiPath and how Playwright creates a new paradigm for QA.
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From Selenium to Playwright: A Data-Driven Look at the Shifting Landscape of Test Automation
Published:The data is clear: the industry is migrating. Not just between tools, but from a legacy mindset to a modern one, increasingly assisted by AI.
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From Open Source to Industry Sponsorship: The TestShift Journey with BrowserStack
Published:A deep dive into how a community-driven Playwright project earned a full sponsorship from BrowserStack, and what this means for the future of AI-native test architecture.