Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer
Paper recorded by Signals 4 on 2026-09-25 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28
Category: cs.AI · 人工智能 · first seen 2026-09-28
Abstract
We investigate whether natural-language documentation helps coding agents resolve software issues, and we build the tools to construct and evaluate it. We introduce a roundtrip benchmark that scores code descriptions by whether code regenerated from them passes the original tests, and show that completeness, not length, drives a description's fidelity. Using the benchmark as an optimization signal
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Cite this page: Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer: the #3 most recent of 420 cs.AI papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/compact-documentation-for-coding-agents-a-benchmark-an-optimizer-and-why-it-does.html
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