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LLMs can learn to generate more "organic" pull requests by distilling coding style, API usage, and architectural invariants from a project's commit history, leading to better acceptance rates.
Stop wasting compute: Sharing KV caches across tasks and time can make Vision-Language-Action models run 3.7x faster.
