How Classmethod Uses Claude Code to Cut Development Time by 90%
Classmethod, a leading Japanese cloud integrator, deployed Claude Code across its engineering teams to address chronic developer shortages. The tool automated code generation, review, and testing workflows, reducing development time by up to 90% on specific tasks and cutting code review time by 80%.
Impact
up to 90%
Reduction in development time
80%
Reduction in code review time
96%
Reduction in Google Apps Script task time
108 to 165
Merged pull requests growth
Challenge
Classmethod's engineering teams faced chronic labor shortages with developers spending too much time on routine coding tasks, leaving insufficient capacity for strategic and creative work.
Solution
Classmethod deployed Claude Code across their development lifecycle for code generation, codebase understanding, test suite creation, and GitHub Issues-based implementation, covering their Ruby on Rails and Next.js stack.
Tools & Technologies
What Leaders Say
“The quality of the generated code was significantly superior to that of other products.”
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Full Story
Japanese cloud integrators operate in a market defined by scarce engineering talent and accelerating client demand. Classmethod, one of Japan's largest AWS consulting partners, found itself caught in this squeeze: developer hours were consumed by routine coding tasks, leaving little capacity for strategic or creative work. The gap between available engineering capacity and project needs continued to widen.
Classmethod evaluated multiple AI coding tools before settling on Claude Code. The key differentiator was code quality—engineers noted that Claude Code generated significantly superior code compared to alternatives. The CLI-based interface also aligned naturally with existing developer workflows, reducing the learning curve to near zero.
The team integrated Claude Code across the full development lifecycle. It generates complete logic blocks from detailed design documents, helps engineers understand unfamiliar codebases, produces comprehensive test suites, and handles GitHub Issues-based task descriptions. The tool works across Classmethod's primary tech stack—Ruby on Rails, Next.js, and other frameworks.
The productivity gains were dramatic across multiple dimensions. Development time on specific coding tasks dropped by up to 90%. Code review time fell by 80%. One particularly striking result: a Google Apps Script task that previously took 24 hours was completed in 1 hour—a 96% reduction. Most tellingly, merged pull requests climbed from 108 in January to 165 by May and June, a sustained increase in shipped code that reflects genuine productivity improvement rather than a one-off spike.
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