Five-R Framework Proposed to Rigorously Evaluate AI-Generated Code Before Production

A software engineering framework called the Five-R Review has been proposed to assess AI-generated code across five dimensions: Reason, Reach, Reversibility, Resilience, and Reviewability. The framework addresses a growing concern that AI tools can produce code that compiles and passes tests yet still introduces unsafe or poorly reasoned changes into production systems. The author draws on experience with large-scale distributed systems, where small changes like retries or timeout adjustments have caused cascading consequences beyond their origin service. A key argument is that faster code generation raises, rather than lowers, the bar for justifying a change, since AI cannot automatically account for system-wide context or organizational constraints. The framework treats every production change as a technical claim that must independently defend its existence, design fit, assumptions, operational safety, and long-term maintainability.