Standardized offline Pega branch reviews on a 1,500-rule platform

A Pega 8.8 supply-chain compliance platform - 1,500+ rules across eight business domains, including a roughly 650-rule embargo and export-control module spanning two jurisdictions - needed consistent architect-level review of development branches. Live-instance access was scarce and review quality varied by reviewer.

Branch exports look opaque: the instance data ships as undocumented binary blobs, and received wisdom said rule logic cannot be reviewed from an export. Reviews also had to be consistent - same structure, same depth - regardless of who performed them or when.

A documented methodology that extracts everything the archives actually do expose: scope from the archive inventory grammar, full rule logic from rule XML, runtime evidence from tracer logs. Findings land in a standardized impact-report template so every review reads the same way.

The methodology is encoded as an LLM knowledge-injection file with verified catalogs of platform methods and actions - plus an explicit kill-list of behaviors language models reliably invent about Pega. That last part matters: it turns a local LLM from a confident hallucinator into a competent first-pass reviewer whose output an architect can trust enough to verify.

31 standardized branch analyses delivered to date. Review turnaround no longer depends on live-instance availability, findings are comparable across time, and first-pass analysis is increasingly delegated to a locally hosted model working under the methodology.