AI code-generation tools have compressed software development cycles, but testing that software has been left behind. It’s tedious and occasionally cumbersome work. “It’s not sexy,” in the words of one industry leader. But it is critical.
The gap and how to fix it is the focus of today’s lead story by Frederic Lardinois, Senior Editor for AI.
This week, Sauce Labs launched AI for Test Authoring, built around what the San Francisco-based company calls “intent-driven testing.” Engineers or product managers can now describe what an application is supposed to do — in plain language, via a Jira spec, or even from a Figma design — instead of writing granular test scripts that specify every click and browser interaction, Lardinois reports. The platform then auto-generates executable test suites and runs them across virtual and real devices on Sauce’s cloud.
Sauce Labs CEO Prince Kohli tells The New Stack that testing has been deprioritized for decades because “it is not sexy.” But with AI accelerating code output, shipping code has become the real bottleneck, whereas writing used to be a cause of slowdowns.
The company's new test authoring tool lets teams describe business logic in plain language instead of scripting per-click test cases.
AI code-generation tools have compressed software development cycles, but testing hasn't kept up. Sauce Labs thinks it has found an answer.
To ensure that testing doesn’t become a bottleneck, Sauce Labs this week launched AI for Test Authoring, built around what it calls...
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