How Organizations Can Drive GitHub Copilot Adoption by Measuring Success: Insights and Real Data
This white paper explores the benefits of GitHub Copilot, the challenges organizations face in driving adoption, and the need for reliable data in driving Copilot adoption.
AI-driven code assistants like GitHub Copilot have transformed the developer experience, automating repetitive tasks and boosting productivity. But how can organizations measure their true impact?
Download this white paper to explore:
- The journey to Copilot adoption – Key challenges and how to overcome resistance.
- Real-world data on Copilot’s impact – Insights from multiple industries on productivity, speed, and code quality.
- Measuring success with Opsera – Learn how to track the effectiveness of Copilot across your entire DevOps tool stack.
Get the data and strategies you need to maximize Copilot’s value. Fill out the form to access the full white paper.
Authors.
Vishnu VasudevanCPO, Opsera
More like this.
From Enterprise Intent to Governed Autonomous Change
AI has collapsed the cost of creating software change, but not the cost of governing it. Most Fortune 500 enterprises can now generate software faster than they can responsibly understand or control it — the real gap isn't adoption, it's governance.
From Velocity to Durable Value
You already know AI coding tools are generating more code, faster. The real question is what to do about everything downstream of that — the review queues, the security debt, the agentic workflows nobody's fully governing yet.
Measuring the True Business Impact of AI Coding Assistants: Beyond Developer Metrics to Enterprise Value
Get a comprehensive framework to measure what really matters, from code generation to production, from pull requests to ROI.
See it running on your own pipelines.
Forty-five minutes with our engineers. Bring a pipeline you are unhappy with.