Sequential Tasks Cause Compound Errors in AI Coding Agents

A software benchmark called BOBA evaluated AI coding agents across multi step workflows, revealing that success rates dropped from 95 percent on single requests down to 51 percent on chained tasks. Uncorrected errors in early steps compounded across subsequent code iterations, doubling failure rates for downstream requests.