Verification Becomes the Harder Problem for Advanced Coding Agents
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[Submitted on 24 Jun 2026]
Summary
This paper challenges the classical intuition that verifying a solution is easier than producing one, arguing that for modern coding agents, verification has become the harder problem. The authors characterize verification signal quality along three dimensions—scalability, faithfulness, and robustness—and study four reward constructions (test verifier, rubric verifier, user as verifier, automated agent verifier) across different task types. Experiments show that targeted verification design can suppress reward hacking and improve task completion, but crucially, no fixed reward function remains effective as policy capability grows—verification must co-evolve with the generator.
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Key quotes
· 4 pulledA classical intuition holds that verifying a solution is easier than producing one. For today's coding agents, this intuition is being inverted.
Every verifier we can build is only a proxy for human intent, never the intent itself.
No fixed reward function can remain effective as policy capability continues to grow; and verification must co-evolve with the generator.
Optimization widens the gap between proxy and intent — manifesting as reward hacking or signal saturation.
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