Gen AI Tests: Productivity, Statistics & Analysis (Whitepaper)
The findings from Siili original study provide a fresh perspective on how much GitHub Copilot, ChatGPT, and Claude really improve development workflows.
Michal Wlosik
· 2 min read
Download the whitepaper here:
The findings from Siili original new study provide a fresh perspective on how much GitHub Copilot, ChatGPT, and Claude really improve development workflows.
What’s inside
- How AI enhances speed and quality across diverse development tasks
- How to address challenges and maximize the benefits of AI-assisted workflows
- Insights into achieving consistent performance with AI tools
- Real-world examples of how developers leveraged AI for documentation, test writing, and more
Key findings from the whitepaper
The study’s findings showcase the undeniable advantages of AI tools in software development. Here are the key takeaways:
Speed improvements
Tasks completed using AI tools were, on average, 40% faster than traditional methods. Some tasks, like frontend feature development, saw speed increases of over 175%.
Quality gains
Code quality improved by 89.7% on average when developers used AI tools. This was especially noticeable in test writing and documentation tasks.
Consistency
AI tools significantly reduced variability in task performance. Developers using GenAI assistants had more predictable outcomes in both time and quality, even for complex assignments.
Developer satisfaction
Over 87% of participants reported positive experiences with AI tools, highlighting reduced cognitive load and enhanced confidence in their outputs.
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Written by
Builder, product marketer and AI enthusiast. I ship my own apps, like Sift (siftphotos.pro), Penlo (penlo.app), Ectobuilder (ectobuilder.com) and Cubbie (cubbie.pro), and write about building and marketing them with AI.
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