Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
Italy's leading independent payment network, with 6 million consumers and 450,000+ merchants, operating on a mature Java and Spring codebase maintained largely by earlier-career engineers.
Senior engineers had become the bottleneck, with code review carrying three jobs at once: teaching, quality gate, and context transfer. Engineers...
“A junior engineer facing an unfamiliar service needs help understanding the system, not help finishing a line of code.”
Mobile payment app and independent network for retail and peer-to-peer payments.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Satispay's Coding assistance is part of this use case:
Related implementations across industries and use cases
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Rigid ML tools bottlenecked non-engineers coding with AI. Now, standardized rails and an automated AI debugger let anyone ship safely.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
Italy's leading independent payment network, with 6 million consumers and 450,000+ merchants, operating on a mature Java and Spring codebase maintained largely by earlier-career engineers.
Senior engineers had become the bottleneck, with code review carrying three jobs at once: teaching, quality gate, and context transfer. Engineers...
“A junior engineer facing an unfamiliar service needs help understanding the system, not help finishing a line of code.”
Mobile payment app and independent network for retail and peer-to-peer payments.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Satispay's Coding assistance is part of this use case:
Related implementations across industries and use cases
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Rigid ML tools bottlenecked non-engineers coding with AI. Now, standardized rails and an automated AI debugger let anyone ship safely.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.