Browserstack Release Notes

Block-wise test execution

You can now organize your test suite into “blocks” to control dependencies and execution order—run login or setup tests first, and only proceed if they pass.

Key Highlights

• Group tests into blocks, each block can run tests in parallel (for speed) or sequentially (for isolation).
• Set block-level failure logic: choose to stop execution if a block fails, or continue to the next block, ensuring critical flows are validated first.
• When to use: Ideal for suites with dependencies (e.g., login/setup flows), environment setup/teardown, or when you want to run critical tests first and skip the rest if they fail.

🚀 With block-wise execution, you get faster execution times, more control over test execution behavior, and no manual intervention needed to manage dependencies or execution order.

Key Highlights

• Effortless Mapping: Map each LCA test to TestRail test cases from UI.
• Automated Test Run Creation: As soon as a build completes in LCA, a detailed test run is automatically created in TestRail, including data for each execution (including data-driven runs).
• Efficient Workflow: Pass/fail statuses and execution details are instantly pushed to TestRail, without any manual intervention or APIs.

With this integration, you save time, reduce manual effort, and get end-to-end traceability from test execution to result tracking in TestRail.

You can now integrate GitLab with Test Management to directly link issues, requirements, test runs, and results - eliminating context switching and ensuring complete traceability from requirements to delivery.

What’s New

• Add requirements by creating or linking GitLab issues directly within a test case.
• Add GitLab issues while creating or editing a test run.
• Connect issues to test runs for streamlined defect tracking.
• Link defects to individual test results for precise root cause analysis.

Visual Review Agent

Accelerate visual reviews with an AI agent that filters out noise, summarizes changes, and personalizes your review process — helping you focus only on the visual differences that matter.

With Visual Review Agent you can -

• Filter out minor pixel-level changes in text, fonts, or layout so you focus on meaningful visual changes.
• Get human-readable summaries of every change, making it easy to understand and act on visual differences quickly.
• Create and reuse custom review rules to guide the agent on what to show or ignore, making reviews faster and scaleable.
• Save up to 3× review time and scale your visual testing with confidence. Watch demo
• Visual Review Agent is now available to use in Website Scanner!

Your Accessibility scans in Website Scanner just got smarter.

We’ve added two new AI agents that identify complex accessibility issues traditional tools miss and give you clear, actionable guidance to fix them.

Issue Detection Agent

• Improve alt text coverage: Detect missing alt text and identify complex images that need a more descriptive alt text
• Optimize screen reader experiences: Auto-distinguish decorative images that are cluttering screen reader experience from functional images

Issue Remediation Agent

• Understand the root cause: Gain clarity with expert explanations from our AI, helping you grasp why an issue exists and how to fix it effectively
• Receive code-ready solutions: Get direct guidance and semantic HTML fixes for common and complex issues

Run a new Accessibility scan in Website Scanner to try them now!

You can now view test cases in Closed Test Runs by their current folder structure from the repository. This helps you easily navigate and locate test cases based on how they’re organized today.

What’s New

• ✅ Folder View available: See all test cases grouped by their current folders.
• ✅ Real-time updates: Any folder or test case changes in the repository (like renames or moves) are automatically reflected in closed runs.
• ✅ Fallback to consolidated view: If a folder is deleted or moved, its test cases will still be visible in the consolidated view.

Accessibility testing shouldn’t be a tradeoff.

Meet the new Accessibility Issue Detection Agent — an AI agent that finds accessibility issues with human-like accuracy.

For too long, accessibility testing has meant choosing between automation that misses nearly half the issues, or slow, expensive manual audits. This agent changes that — acting like an embedded WCAG expert to uncover complex, contextual issues that basic checkers overlook.

• Is that alt text truly descriptive?
• Is the image decorative or functional?
• Is the color contrast holding up?
  .... and more

Built on the Spectra™ rule engine, it brings deep context from websites and web apps helping teams detect and fix accessibility issues faster and better — and build experiences that work for everyone.

Accessibility testing shouldn’t be a tradeoff

Accessibility testing shouldn’t be a tradeoff.
Meet the new App Accessibility Issue Detection Agent — an AI agent that finds accessibility issues with human-like accuracy.
For too long, accessibility testing has meant choosing between automation that misses nearly half the issues, or slow, expensive manual audits. This agent changes that — acting like an embedded accessibility expert to uncover complex, contextual issues that basic checkers overlook.

• Are on-screen elements following the natural sequence order?
• Are there any unclear or misleading labels on buttons, icons, and form fields?
• Is screen reader focus order of interactive elements following a logical reading sequence?
• .... and more

Built on the Spectra™ rule engine, it brings deep context from mobile apps helping teams detect and fix accessibility issues faster and better — and build experiences that work for everyone.

BrowserStack Accessibility DevTools rollout

• We’re rolling out BrowserStack Accessibility DevTools to detect and fix accessibility defects as you code.
• You get: Real-time linting inside your IDE (supports 13+ IDEs like VsCode, JetBrains and more).
• Fix accessibility issues for 15+ WCAG SC as you code.
• CLI checks to prevent inaccessible code from reaching your repo.
• AI remediation guidance and one-click fixes via AI coding assistants (Copilot, Jetbrains AI Assistant etc.)
• Try the plugin (VSCode, JetBrains)