You build fast with AI coding tools. But are you confident it works?

AI-accelerated development lets you ship features quickly, but complex web apps need confidence. Every new feature could break existing functionality. You're moving fast, but you're not confident everything still works.

Squidler answers three questions your coding agent can't answer about its own work:

* Does it work? Can users actually accomplish their goals? Our goal-driven navigation tests intent, not implementation—surviving UI changes while ensuring features remain functional.
* Is it broken? Are there crashes, accessibility violations, broken links, or console errors? Our runtime linter validates everything deterministically.
* Is it easy? Did users struggle? Scroll too much? Miss hidden buttons? Our internal monologue reveals UX friction even when goals succeed.

This is three-dimensional verification: goal verification, runtime validation, and UX friction detection—all in parallel, all automated and autonomous.

Your tests adapt when your UI changes. No more updating selectors or rewriting test scripts. Redesign, refactor, and iterate without breaking your test suite. Refactor without fear. Ship with confidence.

We integrate directly where you work: MCP integration for Cursor and other agent runtimes, REST API for CI/CD pipelines, scheduled verification for production monitoring, and more.

Focus on value creation. We verify that what you build works, isn't broken, and feels easy. Goal-driven web app testing.

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