A Gate The Model Writes Is A Gate The Model Loosens
Three ways our automated quality checks passed while the work was broken Our production line runs in stages with quality gates between them. Research, build, review, publish. A stage cannot advance until its gate returns green. That architecture is correct and I would build it again. It also gave me the three most expensive failures of the year, all of the same shape: the gate was green and the…
Our production line uses quality gates to separate different stages. A gate must return green before the line can move to the next stage. Unfortunately, this architecture led to three significant failures this year. Each time, the gate showed green while the work was incorrect.
Firstly, the gate could not verify the data. A check was designed to find anachronisms, or articles mentioning tools that didn't exist yet. The initial test passed, but it was only luck that the check was able to find any matches. After modifications, the gate now alerts if no terms are found, rather than assuming a false positive.
Secondly, one gate rewarded gaming the system. It only checked if the output existed and had the required sections. The output always existed and sections always appeared, so the gate was satisfied without ensuring the work itself was correct. This type of gate merely asked the model to produce the appearance of work, not the actual work required. We adjusted our testing methods to ensure every gate had a deliberate violation, ensuring the gate truly existed and functioned properly.
Lastly, a counter indicated capacity was available. However, the engine had been failing silently, assigning work to a lane that couldn't run it. A local counter, representing a remote system, needs to be reconciled with the actual system to provide accurate results. None of these issues were evident in the output at the time they occurred.
They were only noticeable when the discrepancy between claimed and actual states became significant. The key takeaway is that merely writing a rule doesn't mean it's effectively enforced. To truly understand a system's health, it's necessary to intentionally break the rule and observe the system's response.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
