When “It Ran Successfully” Stops Being Good Enough
A deployment pipeline turns green. An AI agent finishes its task list. A script exits with code 0. For years, this has been the closest thing software teams had to a definition of success — automation completed its steps, so the operation must have worked. But as more of the operational world gets handed to scripts, orchestrators, and now autonomous agents, that assumption is starting to crack. The pipeline can succeed while the wrong version reaches production. The agent can complete every action it chose and still leave a system in a state nobody authorized. Speed of execution has quietly outpaced our ability to prove that execution did what it was supposed to do.