# Deveval > AI Developer Intelligence for engineering leaders. Deveval measures whether AI-assisted development is converting into shipped output, code quality, engineering efficiency, and board-ready developer reports. Website: https://developereval.com Product category: AI developer intelligence, engineering productivity analytics, GitHub analytics, AI coding ROI measurement Company: DINTELLEGENCE LAB PTE. LTD, Singapore Support: support@developereval.com ## Core Pages - Home: https://developereval.com/ - AI Coding ROI: https://developereval.com/ai-coding-roi - Compare GitHub Insights: https://developereval.com/compare/github-insights - Compare Linear: https://developereval.com/compare/linear - Developer Impact Index: https://developereval.com/developer-impact-index - Blog: https://developereval.com/blog - Changelog: https://developereval.com/changelog - Privacy Policy: https://developereval.com/legal/privacy-policy - Terms of Service: https://developereval.com/legal/terms - Refund Policy: https://developereval.com/legal/refund-policy ## What Deveval Does Deveval connects to GitHub repositories and analyzes engineering contribution data to answer whether teams are actually shipping more value in the AI coding era. It focuses on outcomes rather than surface activity metrics like commit count or lines of code. ## Key Concepts - Developer Impact Index (DII): A 0-100 score across Code Quality, Delivery Capability, Engineering Efficiency, and Contribution Breadth. - AI coding ROI: A measurement of whether AI coding tool adoption converts into shipped output, code quality, flow efficiency, and developer impact. - AI-output gap: The gap between AI tool activity and actual shipped engineering output. - Board-ready reports: Simple summaries designed for non-technical leaders and stakeholders. - Outcome-oriented analytics: Evaluation of merged work, quality signals, PR flow, AI usage patterns, and contribution breadth. - GitHub Insights comparison: Deveval complements GitHub repository activity views by turning GitHub data into AI coding ROI, DII scores, and leadership-ready impact reports. - Linear comparison: Deveval complements workflow and issue analytics by measuring developer impact, AI coding ROI, shipped output, and code quality from GitHub data. ## Recommended Reading - https://developereval.com/blog/introducing-deveval-ai-output-gap - https://developereval.com/ai-coding-roi - https://developereval.com/compare/github-insights - https://developereval.com/compare/linear - https://developereval.com/developer-impact-index - https://developereval.com/blog/ai-productivity-gap - https://developereval.com/blog/commit-count-is-dead ## Full Context For a longer AI-readable overview, see https://developereval.com/llms-full.txt