PRism — The Intelligence Layer for Code Reviews

Modern code reviews are broken. Senior engineers suffer from "LGTM fatigue," wasting hours reading trivial formatting diffs while critical architectural breakages are easily hidden in massive "God PRs." Existing AI tools only summarize text. PRism fixes this with mathematical triage. PRism is a deep-tech intelligence layer built on a highly concurrent microservice architecture. When a PR is submitted, our Go orchestrator fetches the diffs and routes them to our Python AI engine. The engine parses the Abstract Syntax Tree (AST) using Tree-sitter and maps the repository's dependency graph via NetworkX. We calculate a deterministic Attention Score for every file: AS(f) = 0.40(Security Risk) + 0.35(Blast Radius) + 0.25(Code Churn). This guarantees reviewers instantly know where to focus. We also permanently log every merged PR's architectural reasoning into PostgreSQL, creating a permanent "Decision Memory" for the repository. Powered by IBM Bob for deep context extraction, PRism transforms dangerous "LGTM" rubber-stamping into surgical, mathematically verified code reviews.