What 1,281 agent runs reveal about coding agent failure in large codebases
Summary
The article analyzes five recurring failure patterns for coding agents in large codebases, drawn from 1,281 agent runs across 40+ enterprise-scale open-source repositories. It argues that the bottleneck is the infrastructure surrounding the model—especially context retrieval and code navigation—and highlights the need for better retrieval tooling and versioned skills to improve agent performance.