Test Automation with Cavisson

How Cavisson automatically generates test scripts from your backlogs and documents, executes them through your CI pipeline, and feeds failures straight back into your issue tracker — with zero manual handoffs.

Step 1: Generate Test Scripts from Your Existing Sources

Performance testing has always started with a blank script. A ticket gets written. An engineer reads it. Then someone manually translates that intent into HTTP calls, load profiles, and assertions — a process that takes hours and drifts out of date the moment the story is updated. Cavisson’s Generate With AI feature eliminates that translation step entirely. It connects directly to the four places where your team’s requirements already live:
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From One Script to Full Lifecycle Validation: Functional, Performance & Chaos

Functional, Performance & Chaos — All in One Platform

Every engineering team has been there. You have a test script — maybe a Selenium flow, a JMeter plan, or a Postman collection — that validated a critical user journey. It passed. You shipped. Then production fell over under load, or a single node failure cascaded into a 3-hour outage. Sound familiar? The root cause isn’t bad tests. It’s incomplete coverage across the application lifecycle. Most teams test in silos: QA owns functional, a performance team runs load tests on a Friday, and chaos engineering is something you “plan to do someday.” The result? Coverage gaps between each stage that only reveal themselves in production — at the worst possible time. At Cavisson, we built our platform around a single belief: your test script should be the seed of full lifecycle validation — not just a checkbox for one phase. With Performance Testing Tool and Chaos Engineering Tool working as a unified engine, that belief is now a reality.

The Three Phases Every Application Must Survive

Before we talk platform, let’s frame the problem precisely. Modern applications must be validated across three distinct — but deeply connected — dimensions:
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Shift-Left Performance Testing: Reusing Functional Test Scripts for Load Testing

The promise of shift-left performance testing is straightforward: catch performance problems earlier, when they are cheaper and faster to fix. But the practical barrier has always been the same — performance testing requires a separate script, a separate tool, and a separate team. By the time load tests are written and run, the development window has already closed. What if the functional test your QA engineer wrote on Monday could also run as a load test by Friday — without anyone touching it? What if the script that validates a single checkout transaction could, with zero modification, simulate ten thousand concurrent shoppers under peak load conditions?
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