super timely work, and a really great explanation for why models might feel "benchmaxxed"!
SWE evals definitely feel extremely Markovian, which lends really well to compaction (since your codebase is essentially agent memory)
real-world agent use is clearly multi-turn and partially-observable (uncovering requirements once you see your own spec assumptions challenged and overturned)
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