Linear Orbit Inc. published new data on AI usage patterns within software development teams using its platform, spanning over six years up to 2026. The analysis covers tens of thousands of teams building software inside Linear daily, providing insights into how AI adoption has evolved and reshaped workflows in product development, according to linear.app.
The data captures the entire workflow from issue creation to pull request closure, focusing on AI usage inside Linear's customer base rather than the broader market. It examines three main aspects: who is using AI, how AI changes where teams allocate their time within Linear, and whether AI impacts the volume of shipped code. This comprehensive view offers a fixed point to understand AI-assisted product development.
This information is significant as it goes beyond typical metrics like token usage or code volume, which only reflect one layer of development activity. By analyzing the full product development lifecycle, Linear's data provides a deeper understanding of AI's role in software teams. Such insights can inform how companies integrate AI tools to optimize productivity and collaboration in engineering workflows.
Linear's findings, detailed on their website, contribute to the growing body of knowledge on AI integration in software development. The company continues to collect and analyze data from its platform, which serves tens of thousands of teams worldwide, offering a unique perspective on AI's impact on modern product development.