How Rumi accelerates engineering velocity with Matter AI's code review solution

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Michael Gaylord
CTO, Rumi
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Matthew Glen
Global Head, Infrastructure, Rumi

Rumi is a pioneering AI company that's transforming how organizations handle meetings with their innovative Meeting Memory™ platform. Their flagship product enables teams to question multiple meetings simultaneously, create content from conversations, and leverage AI for enhanced meeting experiences.

Rumi Meeting Memory Platform Interface

About Rumi's Meeting Memory™ Platform

Rumi's all-in-one meeting solution combines multiple tools in a seamless, browser-based platform that delivers:

  • Real-time, concise meeting summaries
  • Bite-size meeting insights
  • Automated to-do tracking for enhanced accountability
  • Multi-meeting query capabilities
  • Integrated content creation from conversations

What sets Rumi apart is their plugin-free approach, requiring no external technology while offering comprehensive meeting management through a single competitive subscription.

The Challenge: Scaling Code Quality While Managing Growth

Rumi, a pioneering meeting intelligence platform, faced growing pains common to fast-scaling startups. As their engineering team expanded to support their innovative AI-driven meeting solution, maintaining consistent code quality became increasingly challenging.

"We were adding engineers quickly to meet market demand, but our code review process wasn't scaling with us," explains Michael Gaylord, CTO at Rumi. "Reviews were becoming bottlenecks, taking up to 30% of our senior engineers' time while still allowing quality issues to slip through."

The Solution: AI-Powered Code Reviews

After evaluating several options, Rumi implemented Matter AI's code review solution across their development workflow. The integration was completed in less than a day, with immediate results visible from the first pull request.

Our team is hooked to this amazing AI driven code review agent. This is something I would have loved to build myself, if Matter AI hadn't done it already.

Michael Gaylord

Michael Gaylord

CTO at Rumi

Key Implementation Features

Matter AI's integration with Rumi's development workflow included several critical capabilities that addressed their specific challenges:

  • Multi-language Analysis: Matter AI provides intelligent code reviews across Rumi's diverse technology stack, including Python, TypeScript, and Rust.
  • Contextual Issue Detection: Unlike simple linters, Matter AI understands code in context, identifying subtle bugs, performance bottlenecks, and security vulnerabilities that might otherwise reach production.
  • Automated PR Documentation: The solution automatically generates comprehensive documentation and summaries for pull requests, saving engineers valuable time.

Quantifiable Results

Within three months of implementing Matter AI, Rumi measured significant improvements across their engineering operations:

  • Developer Time Savings: Engineers now save an average of 5.2 hours per week on code review activities
  • Documentation Efficiency: 40% reduction in time spent documenting pull requests
  • Quality Improvement: 25% fewer bugs reaching production environments
  • Development Velocity: 30% faster pull request turnaround time
  • Team Satisfaction: 92% of developers report improved work satisfaction due to reduced review bottlenecks

Beyond Time Savings: Cultural Impact

Perhaps the most significant benefit has been the cultural shift within Rumi's engineering organization. "Matter AI has transformed how we think about code quality," notes Gaylord. "It's no longer a bottleneck that slows us down but an automated process that accelerates our development while improving quality."

The solution has been particularly valuable for onboarding new team members, who now receive consistent, constructive feedback as they learn Rumi's codebase and coding standards.

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