Spur 2025 Feature Highlights

2025 was a big year for Spur. Here’s a look at the features that changed how teams create and run automated tests using natural language, from smarter ways to model scenarios and organize suites to richer execution, debugging, and integrations that plug directly into the tools teams already use every day.

Scenario Tables

Scenario Tables help you create dynamic tests that handle multiple scenarios within a single user flow using parameterized test data.​

Instead of maintaining many nearly identical tests with different inputs, you define one test and run it through multiple rows of data, which reduces redundancy, improves maintainability, and makes it easier to cover variations and edge cases.​

Environments and Browsers

Spur lets you run the same test suites across multiple environments such as dev, staging, and production without duplicating suites.​

By configuring Environments and Environment Values, you can centralize environment-specific settings and then run suites across deployments, making it easier to compare results and maintain consistent test logic.​

Test Plans and Suites

A test suite in Spur is a collection of related tests that validate specific functionality, with Flow View giving you a visual representation of test dependencies.​

When you run a test suite, Spur executes tests in order, respects dependencies, and provides real-time feedback on status, progress, errors, and execution time, which makes Test Plans and suites a foundation for organizing your testing around features and user journeys.​

Bulk Actions and Retry‑style workflows

Spur supports multiple test execution methods, including scheduled tests, cached tests, manual execution, and CI/CD, so you can repeatedly run suites and tests as part of your regular workflow.​

Using features like scheduling, snoozed tests, and cached runs, teams can re-run tests and keep execution focused on the most relevant suites, which functions as a practical retry pattern for stabilizing and iterating on coverage over time.​

Reporting, Debugging, and Integrations

The Spur Dashboard gives a centralized view of currently running tests, past runs, scheduled tests, and recent failures, making it easier to monitor results and understand your testing environment.​
For deeper analysis and debugging, Spur provides Statistics, full browser observability, video replay, console and network logs, and agent logs, so you can see step-by-step what happened in a run.​

Spur’s integrations turn those results into action.​

With Jira and Linear, you can create detailed tickets directly from failures with screenshots, logs, and reproduction steps, while Slack, Email, and GitHub integrations handle real-time notifications, reports, and automated workflows in your existing tooling.