AI BENCHMARK PROFILE
UnderSpecBench
UnderSpecBench evaluates coding agents on DevOps tasks under varying instruction underspecification, measuring action-boundary violations such as wrong-target or over-scope actions.
- Released
- 2026-07-02
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
Existing agent benchmarks focus on task completion, potentially overstating safe autonomy. UnderSpecBench highlights the gap in measuring safe behavior under underspecified instructions.
Motivation
LLM coding agents are increasingly deployed to act autonomously on real production infrastructure.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.