Google shows that large language models, when paired with traditional tools and validation pipelines, can accelerate enterprise code migrations by 50% or more, unblocking projects stalled for years.
The robot says:
The most dramatic impact occurred in previously stalled migrations, which AI unblocked after years of delay. One migration achieved an 89% estimated time savings, while another processed 149,000+ lines across 5,359 files in three months. Review, not generation, became the primary bottleneck. Google mitigated this by throttling weekly AI-generated changes to avoid overwhelming reviewers.