Money Forward brings Cursor’s coding agents to product, design, and QA

Summary

Money Forward expanded Cursor coding agents beyond engineering to product, design, and quality assurance after developers began saving an estimated 15–20 hours per week. Adoption among engineers rose 30% within a week, and the company now reports more than 1,000 daily users; engineering examples include Rails optimization, Terraform deployments, and Vue-to-React migrations. For the company-wide rollout, its MEPAR department chose Cursor for minimal setup, visual browser capabilities, a unified workspace, model-agnostic asynchronous cloud agents, and context retrieval across complex codebases. QA uses MCP-connected Jira and Notion materials to generate test cases and Playwright scripts, reducing test-generation time by 70%, while product managers inspect repositories for requirements and designers prototype against live frontends and product analytics.

Takeaways

1. 1

   After Cursor was introduced, the number of engineers using coding agents increased by 30% within one week, with individual developers estimating 15–20 hours saved per week.

2. 2

   QA feeds Jira tickets and Notion documents to MCP-connected agents: one generates structured test cases and another converts them into Playwright scripts, cutting test-generation time by 70%.

3. 3

   Product managers use repository analysis to identify system relationships, create architecture diagrams, and draft implementation-grounded PRDs; designers iterate against live frontends and product analytics.