AI Pipeline Enterprise Retail · 6,000+ stores

Legacy Java migration compressed from 50 days to hours

A Fortune 500 retailer's engineering org was carrying decades of Java 8 debt across 400+ services. A single Grafter embedded with their platform team, activated the Grafting Engine, and captured a migration workflow that the entire team could run — compressing what had been a 50-day manual process per service into a Claude Code workflow that ran in hours.

50 days → hours per service
400+ services migrated
AWS Bedrock integration
The Challenge

Hundreds of legacy Java services, no consistent upgrade path, senior engineers spending weeks on rote migration work.

The Approach

Grafter embedded with senior platform engineer, reverse-engineered the manual workflow into a repeatable Claude Code skill, deployed to 80-developer org in week two.

Enterprise Skill captured Java 8→21 Migration Accelerator

Packaged, tested, and left behind for the internal team to run and extend independently — no ongoing dependency on CodeVine.

This engagement was delivered by the engineers who now power the CodeVine Grafters program. Customer details are anonymized; CodeVine-branded customer deployments are currently in early access.

More case studies

Data Engineering

Structured previously unused event data into query-ready AI signal

Read case study → Cloud Infrastructure

Fault-tolerant AI workload infrastructure designed to self-heal

Read case study → Data Engineering

Unified fragmented identity data across legacy systems without ripping anything out

Read case study →
← All case studies
Get Started

Want an outcome like this
at your org?

Tell us about your engineering environment. We'll match you with the right Grafter and have them working in your codebase within the week.

Embed a Grafter this week →