Qodo helps developers ship quality code faster with Claude

As AI coding tools help developers write code much faster, a new challenge has emerged: most of this AI-generated code isn't being properly reviewed, tested, or checked against company standards before deployment. Qodo addresses this gap by using Claude not just to generate code, but to automatically review, test, and validate that all code—whether written by humans or AI—meets production requirements.

With Claude, Qodo:

• Reviews 1 million pull requests per quarter across enterprise customers
• Achieves top 5 placement on SWE Bench Verified benchmark with their CLI agent, Qodo Command
• Detects complex security vulnerabilities that syntax analysis tools miss
• Generates clear PR descriptions to help developers understand AI-generated code
• Enables Fortune 500 enterprises to adopt AI while maintaining code integrity

Bridging the gap between AI speed and enterprise quality

While agentic coding tools have transformed how quickly developers generate code, Qodo recognized a growing crisis in software development. Teams can now create features at unprecedented speed, but the flood of AI-generated code doesn’t always receive proper review or testing before being deployed, creating a dangerous paradox. The very tools meant to accelerate code generation have the potential to introduce quality risks that could cost enterprises millions if not properly reviewed.

"The core goal was to eliminate the speed-quality tradeoff in software development," said Avishay Bikowsky, Product Manager at Qodo. "[As agentic coding tools became increasingly popular], we saw a growing risk: much of that code wasn't being properly reviewed, tested, or aligned with architectural standards. We weren't just looking to accelerate development—we wanted to ensure that AI could help teams move fast and ship reliable, production-grade software."

For solo developers to Fortune 500 companies, the challenge went deeper than productivity metrics. In high-risk environments like payment systems or large-scale customer platforms, a single unreviewed bug could cascade into massive financial losses or security breaches.

Selecting Claude for enterprise-grade code intelligence

Qodo's evaluation process centered on finding an AI model that could match the rigor of human code review while operating at machine speed. After testing multiple models across real-world developer workflows—code generation, test creation, refactoring and issue resolution—Claude consistently delivered superior results.

"For SWE Bench, we tested multiple models and Claude consistently outperformed," noted Bikowsky.

The technical benchmarks aligned with user feedback. Teams found Claude's responses more thoughtful, reliable, and aligned with how they actually build software. This human-like understanding proved essential for catching the subtle behavioral issues and security vulnerabilities that traditional static analysis tools miss.

Transforming code quality across the entire development lifecycle

Qodo deploys Claude across the entire development lifecycle. Qodo Aware helps teams navigate unfamiliar codebases by explaining complex dependencies, enabling immediate contributions. During development, Qodo Gen—an IDE extension with 40,000 monthly active users—automatically generates tests and identifies bugs before code review, catching edge cases early.

At pull request time, where delays often bottleneck releases, Qodo Merge processes approximately 1 million pull requests quarterly, providing instant reviews that catch issues humans miss. "This issue was very hard to catch for engineers after hours of investigating," one customer noted after Qodo identified a critical security vulnerability. For complex bugs, Qodo Command—which reached top 5 on SWE Bench Verified—traces intricate code paths to identify fixes that would take engineers hours manually.

This comprehensive approach transforms how teams work with code, reducing review cycles while catching behavioral issues that traditional static analysis tools miss.

Delivering measurable impact for enterprise development teams

The integration of Claude with Qodo’s products has transformed how Qodo's customers approach software development.

Teams using the platform experience reduced review cycles through actionable recommendations that can be applied directly, preventing the stale and abandoned pull requests that plague traditional workflows. Claude's ability to accurately describe code changes accelerates reviewer comprehension, while its consistent performance across all programming languages ensures quality regardless of tech stack.

"Claude Sonnet 4 enables Qodo to deliver exceptional results by identifying high-impact code suggestions aligned with company engineering policies and accurately describing code changes in ways that accelerate reviewer comprehension," said Bikowsky. The model's speed, reliability and consistency provide the optimal balance for enterprise code review, where both accuracy and performance are critical.

This impact extends beyond metrics to fundamental changes in how teams work. With Claude, Qodo maintains code quality across the entire software development lifecycle, from planning and code generation using Qodo Gen or Qodo Command through pull request review in Qodo Merge. By automating initial reviews, catching behavioral issues, and ensuring code compliance with ticket requirements throughout this end-to-end process, Qodo helps enterprises maintain velocity without sacrificing the quality standards their customers depend on.

Pioneering the future of AI-driven software quality

Qodo's vision extends beyond traditional AI pair programming to reimagining how quality is maintained across entire codebases.

"Our focus moving forward is expanding how we ensure code quality—not just in newly generated code, but across the entire codebase, including legacy and existing systems," explained Bikowsky.

In the future, the company sees additional opportunities to leverage Claude for continuous validation of architectural patterns, automated refactoring at scale and proactive detection of quality risks before they reach production. "Claude's ability to reason deeply and respect organizational constraints makes it a strong foundation for enterprise-grade development," said Bikowsky. By putting code quality at the center of AI-assisted development, Qodo and Claude are ensuring that the future of software is both fast and reliable, proving that enterprises no longer need to choose between speed and quality.