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Optimum Partners: Performance Insights from AI-Native Software Delivery at Scale
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Optimum Partners: Performance Insights from AI-Native Software Delivery at Scale
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Optimum Partners released new engineering performance data from two active software delivery products, demonstrating the measurable impact of embedded AI agents on development velocity and test output.
Across both Skillsify, an AI-native hiring platform, and Olive, an enterprise workforce management solution, autonomous agents were integrated directly into the production workflows. These agents contributed to code generation across backend, frontend, and mobile layers, producing working software, not prototypes.
In Skillsify, a two-person engineering team generated 6,250 effective lines of AI-supported code and 40,000 lines of automated test code in a single sprint: more than double their usual output for the same timeframe. On Olive, a team of six engineers produced 10,700 effective lines of product code and 75,000 lines of automated test code, delivering a 50% increase in engineering throughput and test coverage compared to traditional workflows. All figures exclude boilerplate and reflect only meaningful, production-ready code, highlighting how embedded AI agents drive real-world delivery gains.
This uplift in Olive enabled the team to accelerate release cycles and significantly improve platform reliability. With AI agents embedded in core workflows, Olive now supports complex service sector features like performance tracking, shift management, and compliance automation across multiple geographies, delivering higher resilience and readiness for operational scale.
June 2025 Summary
| Product | Engineers | Effective AI Code (LOC) | LOC per Engineer |
| Skillsify | 2 | 6,250 | 3,125 |
| Skillsify (tests) | 2 | 40,000 | 20,000 |
| Olive | 6 | 10,700 | 1,783 |
| Olive (tests) | 6 | 75,000 | 12,500 |
This performance uplift shows how autonomous agents can support smaller, high-performance teams working inside complex delivery environments. Engineers remained in control, while AI handled the structural lift, accelerating iteration, improving test reliability, and increasing output quality without compromising production standards.
“AI agents have become real contributors within our engineering teams, accelerating delivery and raising the bar for quality. Our results prove that when AI is fully integrated into production, smaller teams can outperform traditional models, delivering greater value to our clients and setting a new benchmark for the industry.”, said Eyad H., Co-Founder & COO at Optimum Partners.
Optimum is scaling agent-based engineering across additional client platforms in Q3. Future reporting will expand coverage to include deeper benchmarks on test efficiency, delivery timelines, and AI–human collaboration outcomes.
To learn more, visit optimumpartners.com
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