I use my own tool (released as open source "StrangeDaysTech/straymark"), which takes blocks of related implementation tasks, builds a comprehensive prompt with auditing instructions (comparing intent against implementation), then I run agents from three different models to perform the audits and generate reports. These reports are then analyzed by the main agent to rule out hallucinations or misinterpretations of intent, and finally, a remediation plan is created. This tool can perform this task fragmentation because it's part of its cognitive governance function. Its operation is somewhat complex, but these auditable work units have a coherent structure within the overall project thanks to a knowledge graph that is built from the early design phases through to implementation.