Qwen publishes new work on RL coding agents.

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The idea is to continually build a verification system that co-evolves with AI agents.

LLMs suffer from all sorts of reward hacking issues. This work studies coding-agent reward signals, test pass rates, LLM judges, and execution traces, and shows each one has a horizon beyond which it stops tracking real correctness and starts getting hacked.

They report that reward design for long-horizon coding is really a horizon problem. The metric you pick matters less than how long it keeps tracking correctness, and the paper finds where each signal crosses that line.

Paper: https://arxiv.org/abs/2606.26300

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