Software testing is moving away from the manual "record and playback" sessions popularized by tools like Mabl. While low-code was a huge step up from Selenium, we're seeing a shift in 2026 toward agentic AI platforms that reason through user journeys rather than just replaying clicks.

I put together this comparison to look at the evolution of the stack:

The Shift: Moving from brittle, session-based recordings to natural language agents.

The Goal: Reducing the "maintenance trap" where engineers spend 40% of their time fixing broken tests.

The Tech: How reasoning-based agents (Mechasm) differ from DOM-traversal scripts (Mabl).

Where do you think E2E testing is headed in 2026? Are we finally at the point where we can trust autonomous agents in the deployment pipeline, or is the "recorded script" still the safer bet for reliability?