We've been talking to hundreds of teams building with Cursor, Claude Code, and other agentic tools and the honest answer from most of them is: "We just run it and hope."
Some do a quick manual click-through. Some write a few spot checks. Some just ship and wait for users to find the bugs.
We built TestSprite to solve exactly this autonomous testing that runs from your PRD and codebase but I'm curious what your actual workflow looks like before you merge.
AI workflow automation tools help you design, run, and evolve workflows that actually take action not just suggest what to do next. Some use AI to make workflows easier to build. Others embed AI directly into execution so workflows can handle ambiguity, make decisions, and adapt as they run. The strongest tools do both.
This definition excludes tools where AI only generates static workflows and then steps aside. It also excludes general assistants that never meaningfully participate in end-to-end execution.
