BlueOptima ads

What is AI-assisted code changing? Compare productivity, cost and quality across AI-assisted and human-written code. BlueOptima’s research across 18 enterprises found that active developers with AI licences saw productivity rise 4.74%, while peers without saw a 2.25% decline. Complex, hard-to-maintain code also increased faster in the AI-licensed group (4.21% vs 1.70%). That's the opportunity: evidence from the code that shows teams where AI adds most, and where to adjust how they use it. Explore the research →

How do your engineering teams compare with the rest of the industry? Most leaders only ever see their own numbers. BlueOptima's interactive Global Benchmark report shows key developer performance metrics and trends by industry and sector, quarter by quarter, drawing on 20+ years of benchmark history and data from 970K+ developers. Use it to set realistic targets, see where your sector is heading, and spot where peers are pulling away. Explore the report →

Which coding tasks does AI handle well, and where do your engineers add most value? BlueOptima tested 57 AI models on 4,276 real code files. They did well on the basics: syntax and structure checks typically passed over 80% of the time. But when changes also had to improve maintainability, even frontier models succeeded less than 23% of the time. That's a clear opportunity: use AI where it's strong, keep engineers' judgement where it counts, and check results on your own code. See how AI tools perform →

Measuring engineering performance shouldn't mean sending your source code somewhere else. BlueOptima works across cloud, on-premises and hybrid setups, without your source code leaving your environment. It connects to any source code repository and measures human and AI-assisted work on the same scale, whichever AI assistant your teams use. So when tools, vendors or platforms change, your evidence doesn't. See how it works →

Your developer surveys tell you how teams feel. Your delivery metrics show how work flows. What does the code itself show? Both measurements matter. But as AI writes more of your code, there’s a third view to consider: what that code delivers. BlueOptima adds that layer, measuring productivity, cost and quality from the code itself, benchmarked against 20+ years of data. Evidence to decide what to improve, fund, scale or stop. See where BlueOptima fits →

Even your best engineers slow down in a messy codebase. And as AI adds code faster, there’s more to maintain. BlueOptima’s research across 43 enterprises and 537,000+ repositories found that existing code quality predicted future maintainability far better than workflow metrics did. More maintainable code was also strongly linked to higher productivity. BlueOptima measures maintainability file by file, so teams can see where technical debt is slowing them down and where to invest. Find your hidden slowdowns →