Financial ServicesAgentic AIPublic Cloud

Satispay's engineers generate 75% of committed code with Claude Code, cutting a Java upgrade from 4 weeks to 4 days

Satispay· ItalyClaude Code · Claude Enterprise · Claude Cowork +1

Satispay, Italy's leading independent payment network with 6 million consumers, rolled out Claude Code to its engineering organization after a structured 30-day evaluation, deploying it fleet-wide within 30 days. Engineers now generate over 75% of monthly committed code with Claude, achieved 10x faster modernization of the core transaction service (a Java 8-to-21 and Spring upgrade done in under four days versus a four-week estimate), cut data-transformation Lambda development from three days to under an hour, and completed an 18-month code update roadmap in 7 months.

Overview

Satispay, Italy's leading independent payment network with 6 million consumers, rolled out Claude Code to its engineering organization after a structured 30-day evaluation, deploying it fleet-wide within 30 days. Engineers now generate over 75% of monthly committed code with Claude, achieved 10x faster modernization of the core transaction service (a Java 8-to-21 and Spring upgrade done in under four days versus a four-week estimate), cut data-transformation Lambda development from three days to under an hour, and completed an 18-month code update roadmap in 7 months.

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The challenge

Satispay's engineering team was weighted toward earlier-career engineers on a mature, hard-to-maintain codebase; early-career engineers spent more time reading than writing, senior review became the bottleneck carrying teaching, quality-gate and context-transfer jobs at once, and earlier autocomplete-style AI coding tools had stayed in pockets and never addressed the gap.

The solution

Satispay ran a structured 30-day evaluation comparing Claude Code against another AI coding tool on real tickets, then rolled Claude Code out to every engineering laptop through its managed device fleet within 30 days, added AI proficiency to its engineering performance framework, built reusable Java scaffolding and modernization subagents, and connected an internal subagent to an MCP server to generate AWS Lambda data-transformation functions from a specification.

Agentic AICode Generation

Reported business value

Engineers now generate over 75% of code committed to Satispay's repositories each month with over 90% Claude Code adoption; the core transaction service's Java 8-to-21 and Spring upgrade was completed in under four days against a four-week estimate; data-transformation Lambdas that took three to five days now take under an hour; and an 18-month code update roadmap was completed in 7 months.

Sources

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