The Future of Selenium – Talk by Andreas Tolfsen @ SeTLV Meetup

While AI coding assistants accelerate feature development, code-level assertions frequently miss visual UI regressions. This article by Khoi Le explains how the Applitools Model Context Protocol (MCP) server integrates deterministic Visual AI into IDE tools like Copilot and Cursor. By combining computer vision with existing developer workflows, engineering teams can eliminate test maintenance and receive reproducible visual release signals inside their PRs.

Legacy post-production monitoring relies on high-maintenance developer scripts or inaccurate probabilistic AI. This post explores how Applitools Autonomous uses Deterministic Language Models (DLM) and Visual AI to deliver codeless, locator-free visual checks—protecting revenue and catching silent defects in minutes with zero false alarms.

Learn how to scale visual regression testing for your component library, automate visual checks in CI, and speed up your development workflow with Applitools and Storybook in this developer’s guide to scaling tests.

Learn how to set up the Applitools ServiceNow integration to automate license and usage data retrieval via REST API for procurement teams.