Explore how Salesforce re-architected code review as a system, designed to preserve developer intent, maintain a secure chain of trust, and more.

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Salesforce Engineering

AI-assisted coding tools increased code volume by 30% at Salesforce, causing traditional file-by-file code review workflows to break down. Pull requests expanded beyond 20 files and 1,000 lines, while review quality declined as cognitive load overwhelmed reviewers. Salesforce responded by building Prizm, a system that reconstructs developer intent from changes, provides unified context from work items and historical data, and performs semantic analysis asynchronously. The approach shifts feedback left into IDEs, surfaces security vulnerabilities with remediation guidance, and maintains human judgment while scaling review capacity under AI-amplified workloads.

Scaling Code Reviews: Adapting to a Surge in AI-Generated Code