White Paper
Modernizing Legacy Applications with AI
This white paper explores how AI can accelerate legacy application modernization while explaining why fully automated transformation remains unrealistic. LLMs can assist with code conversion, documentation, testing, optimization, requirements, and deployment, but context-window limitations and complex dependencies make whole-repository conversion unreliable. MongoDB recommends a phased methodology that begins with scoping and understanding existing functionality before moving through design, implementation, testing, and verification. Its approach evolved from monolithic transformations to modular, slice-based modernization supported by dependency graphs and human validation. Pilot programs help establish realistic scope and stakeholder confidence, while data-engineering tools protect integ
