Software and Product Engineering

AI-assisted development cut engineering effort by 30% for a nonprofit fundraising platform

A development workflow built around Claude reduced repetitive work for MentisSoft and sped up feature delivery on FundThrive, its donor management platform for schools and nonprofits.

The Opportunity

MentisSoft builds FundThrive, a fundraising and donor management platform that helps schools and nonprofits manage donors, donations, pledges, recurring gifts, campaigns, and events in one place. As FundThrive added capabilities, MentisSoft needed to deliver features faster, reduce repetitive coding and debugging, and keep the codebase dependable without pulling developers away from customer needs. Its reporting, donor engagement dashboards, and integration with MentisSoft's financial software also needed disciplined testing and documentation.

The Transformation

Claude was embedded into FundThrive's development workflow to support the team across code generation, debugging, testing, refactoring, and documentation. MentisSoft's developers retained ownership of architecture, review, and release decisions.

  1. Requirements Became Development Context

    The fundraising and donor management requirements were structured so Claude could assist developers with relevant implementation plans and code suggestions rather than disconnected snippets.

  2. Coding and Debugging Moved Faster

    Claude supported routine code generation, traced issues, and proposed fixes, reducing effort across common development and debugging tasks while engineers validated every change.

  3. Testing and Refactoring Strengthened Quality

    The team used Claude to generate test scenarios, improve existing code, and refactor repetitive logic, including across reporting, dashboards, and the financial software integration. This made FundThrive easier to maintain as new fundraising capabilities were added.

  4. Documentation Preserved Delivery Knowledge

    Claude assisted with technical documentation and explanations of code changes, giving the team clearer development context and more time to focus on business requirements and user value.

Impact
30%

Less coding and debugging effort across AI-assisted engineering tasks

25%

Faster feature delivery through shorter development and issue resolution cycles

5 activities

Code generation, debugging, testing, refactoring, and documentation accelerated with Claude

6 workflows

Donors, donations, pledges, recurring gifts, campaigns, and fundraising events supported

Partner: Anthropic
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