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  "text": "Qwen publishes new work on RL coding agents.\n\n(bookmark it)\n\nThe idea is to continually build a verification system that co-evolves with AI agents.\n\nLLMs 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.\n\nThey 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.\n\nPaper: https://t.co/51YYEM3kXm\n\nLearn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX",
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