Coding agents struggle to turn software proposals into working changes

Across 100 large repository tasks, the best of 28 agents completed only 14 percent without additional implementation guidance.

Top University
Yun Peng · Zihan Wu · Zeyang Zhuang · Xin Zhou · Rui Shu · Xu Han · +3 more

Fudan University · City University of Hong Kong · Chinese University of Hong Kong · Singapore Management University · Independent Researcher

Research Digest··3 min read
Peng et al.

The authors assembled 100 enhancement tasks from 29 large software systems spanning five domains and multiple programming languages.

Why this paper

From Fudan University and 7 others · Released data

In one line

Coding agents resolve at most 14% of long-horizon enhancement proposal tasks on large software systems, and incomplete code localization is a major bottleneck.

What it released

Data

What we could check

  • ·No code link found
  • ·No weights link found
  • ✓Dataset link in the paper (huggingface.co)
  • ·No compute details found
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

§
newspaper

Research Digest

Articles published under the Zotpaper byline are synthesized from multiple source publications by our AI editor and reviewed by our editorial process. Each story combines reporting from credible outlets to give readers a balanced, comprehensive view.