PayEm reduced bugs by 50% in 2 months with Baz

After introducing code generation agents into their SDLC, the R&D team at PayEm began looking for a solution to ensure code quality and increase development velocity.

Baz’s integration into their workflow was seamless: within minutes, Baz was analyzing pull requests and leaving customized, context-aware comments tailored to PayEm’s codebase, as if it had always been part of it.

From the very first week, the team noticed that Baz’s suggestions were both accurate and actionable, achieving over 50% accuracy on real review tasks. That precision quickly built trust: developers found the feedback relevant, and reviews became faster and more effective.

After seeing consistent improvements in PR quality, Yoav, PayEm’s Director of Engineering, decided to measure Baz’s real impact. He tracked one of the department’s key engineering KPIs — the number of bugs reported through their ticketing system.

The data spoke for itself:

• In the first month, the team experienced a 35% reduction in reported bugs
• By the second month, that improvement reached 50%
• The ratio between PRs and bugs detected dropped from 0.32 → 0.19, showing a clear improvement in release stability and review effectiveness
  
  

“Our team’s capacity has grown because we spend far less time investigating and fixing bugs. Baz’s ability to catch deep logical issues helped us avoid major production incidents.”
— Yoav, Director of Engineering at PayEm

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The PayEm story reflects the immediate impact we see when teams bring Baz into their codebase.
As part of our commitment to transparency and customer value, we’re introducing this KPI and others that matter most to R&D managers, so every team can clearly measure the value Baz delivers.

Ready to see real impact?

Want to bring meaningful improvement to your engineering team?
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👉 Try Baz free for 14 days with one click on your GitHub or GitLab account, or reach out for a demo.