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Open-source LLMs can generate test suites rivaling GPT-4.2's quality, thanks to a new framework that treats test generation as a greedy optimization problem solvable via reinforcement learning.
LLMs can generate code 55% faster by executing code *while* generating it, challenging the traditional generate-then-execute paradigm.