Shypd.aiThe largest open index of AI toolsSynthetic-AI-Developer-Productivity-Dataset is a synthetic dataset capturing AI developer productivity metrics, including focus hours, task completion rates, and burnout indicators. It is privacy-safe and ideal for ML and workflow analytics.
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The Synthetic AI Developer Productivity Dataset provides high-fidelity synthetic data on AI developer behavior and productivity. Generated by Syncora.ai's synthetic data engine, it includes metrics like daily focus hours, number of meetings, lines of code, Git commits, task completion rates, reported burnout levels, debugging time, tech stack complexity, and pair programming indicators. This dataset is designed for researchers, team leads, and AI modelers to study productivity trends, burnout detection, and time optimization without privacy concerns. It's suitable for training machine learning models for productivity forecasting, designing time tracking algorithms, and conducting burnout detection research.
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