How Portkey manages thousands of Pull Requests with Matter AI's Release Management

Portkey is an innovative open-source AI gateway that helps organizations manage, monitor, and optimize their AI operations. Their platform enables teams to handle multiple LLM providers, implement sophisticated routing strategies, and maintain high reliability in AI applications.

About Portkey's AI Gateway

Portkey's open-source gateway provides essential features for AI operations:

• Multi-provider LLM management
• Intelligent request routing
• Comprehensive monitoring and analytics
• Rate limiting and quota management
• Advanced caching capabilities

The Challenge: Scaling Quality Across Open Source Contributions

With rapid growth in their open-source community, Portkey faced a significant challenge managing the increasing volume of pull requests while maintaining high code quality standards.

"As our contributor base expanded, we found ourselves struggling to keep up with code reviews," explains Ayush, Co-Founder and CTO at Portkey. "Our maintainers were spending up to 40% of their time reviewing PRs, yet we still had a growing backlog and inconsistent quality across contributions."

The Solution: AI-Powered Release Management

After evaluating several solutions, Portkey integrated Matter AI's Release Management platform into their GitHub workflow. The implementation process was completed within hours, with immediate impact on their contribution pipeline.

We are happy customers of Matter! This tool is better than almost everything else out there.

Ayush

Co-Founder & CTO at Portkey

Key Implementation Features

Matter AI's integration with Portkey's GitHub workflow included several critical capabilities tailored to open-source project management:

• Intelligent Pull Request Triage: Automatically categorizes and prioritizes incoming PRs based on complexity, risk, and affected areas.
• Contributor-Aware Code Reviews: Adjusts review depth and feedback based on contributor history and familiarity with the codebase.
• Automated Compliance Checks: Ensures all contributions adhere to Portkey's code standards, documentation requirements, and testing protocols.
• Release Impact Analysis: Provides insights into how each PR affects overall system stability and performance.

Quantifiable Results

Within just two months of implementing Matter AI's Release Management, Portkey observed remarkable improvements across their development metrics:

• Review Efficiency: 60% reduction in time spent reviewing pull requests
• Quality Improvement: 45% decrease in code quality issues reaching production
• Contributor Experience: 70% faster feedback turnaround for community contributors
• Release Velocity: 50% reduction in cycle time for feature releases
• Maintainer Satisfaction: Core team now spends 35% more time on strategic development rather than reviews

Beyond Efficiency: Building a Stronger Community

The most significant long-term benefit has been the strengthening of Portkey's open-source community. "With Matter AI handling the initial review process, our maintainers can focus on providing higher-level guidance and mentorship to contributors," says Ayush. "This has dramatically improved our contributor retention rate and the quality of submissions we receive."

New contributors now receive consistent, actionable feedback within hours rather than days, leading to a 120% increase in repeat contributions and a more engaged developer community.