SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation
Currently, mitigating this premature termination requires continuous human-in-the-loop supervision. This heavy reliance on human intuition creates a bottleneck that negates the efficiency gains of automated generation. We propose SCATE, a framework for adaptive, automated supervision of coding agents that replaces human intervention during test generation.
- ▪Currently, mitigating this premature termination requires continuous human-in-the-loop supervision.
- ▪This heavy reliance on human intuition creates a bottleneck that negates the efficiency gains of automated generation.
- ▪We propose SCATE, a framework for adaptive, automated supervision of coding agents that replaces human intervention during test generation.
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Computer Science > Software Engineering arXiv:2607.08983 (cs) [Submitted on 9 Jul 2026] Title:SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation Authors:Sijia Gu, Noor Nashid, Ali Mesbah View a PDF of the paper titled SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation, by Sijia Gu and 2 other authors View PDF HTML (experimental) Abstract:While autonomous coding agents have significantly advanced automated test generation, they remain fundamentally limited by lazy generation, a phenomenon where agents prematurely terminate tasks and systematically avoid complex programmatic logic, resulting in inadequate code coverage. Currently, mitigating this premature termination requires continuous human-in-the-loop supervision.
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