  GitHub issue resolving recently has attracted significant attention from
academia and industry. SWE-bench is proposed to measure the performance in
resolving issues. In this paper, we propose CodeR, which adopts a multi-agent
framework and pre-defined task graphs to Repair & Resolve reported bugs and add
new features within code Repository. On SWE-bench lite, CodeR is able to solve
28.33% of issues, when submitting only once for each issue. We examine the
performance impact of each design of CodeR and offer insights to advance this
research direction.
