arxiv
PublishedOctober 9, 2026 at 4:00 AM
Code Understanding is a Bottleneck for Coding Agents
Publisher summary· verbatim
arXiv:2610.10610v1 Announce Type: cross Abstract: Repository benchmarks (e.g., SWE-bench) for coding agents often assume that lines of code edited can predict task difficulty, but such datasets' poor control over code and task types makes it hard to know which abilities truly drive agent errors. We
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivL2G-SR: Learning to Guide LLM-based Symbolic Regression7harxivWhen Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence7harxivARIA: Runtime Inspection and Amendment for Multi-Agent Systems7harxivKolab: Benchmarking Human-Agent Collaboration in Long-Horizon Workflows7hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗