Paper: coder LLMs may already "know" what context to prune

A new paper (SWE-Pruner Pro) proposes that coding-focused LLMs already carry enough internal signal to identify which parts of a large context window are safe to prune, rather than needing a separate pruning model. Early-stage research, not yet something to build on, but worth watching given how much agentic-coding cost and latency is driven by context size.