Moderne + OpenRewrite at Morgan Stanley: 5 Lessons From a Year at Scale
summary
Morgan Stanley deploys Moderne and OpenRewrite across 5,000 users onboarded, with 2,000+ recipes run and 1,000+ commits shipped, and finds adoption requires ongoing training and productized experiences rather than docs. AI-generated bulk PRs create a new code-review bottleneck, so a data-driven risk score routes low-risk changes to a fast lane while high-risk changes get manual review. Live examples include an AI-built OpenRewrite recipe for AspectJ upgrades and an AI-orchestrated Java build-cache rollout with automated PR triage and CI log confidence scoring.
AI-written summary · about
chapters (7)
- 0:00Introduction and setup
- 3:10Adoption at scale is hard
- 8:24AI as the integration layer
- 13:02Code review bottleneck
- 22:39Confidence is key
- 25:06Choose tools that scale AI
- 33:22Summary and Q&A
related talks
45mTrusting AI to Modernize Software at Scale
54mHybrid Modernization: Combining OpenRewrite's Precision with LLM Intelligence for Spring
37mDeterministic modernization in an age of AI
45mPeople and Culture
40mArchitecture Modernization: Aligning Software, Strategy, and Structure
27mThe State of Large-Scale Code Modernization
01h 16mAutomating Large Scale Refactors with Parallel Agents
33mTaylor’s Guide to Big Rewrites