Supervised coding agents may generate tests more efficiently

The SCATE paper frames coding-agent test generation as an adaptive supervision problem, using a supervisor policy to decide when extra guidance is worth the cost. Why it matters: Test-generation agents can waste budget when every task receives the same level of autonomy or oversight. A supervision policy points toward cheaper workflows that intervene only when the expected quality gain justifies it.

Try this: For any agent-written tests, track where human or scripted supervision changes coverage, failure discovery, or cost; use that record to decide which test tasks deserve extra guidance.