Research
Superlinear Research
At Superlinear, we believe in pushing the boundaries of what's possible with AI and software development. Our research efforts focus on practical applications of cutting-edge technologies to solve real-world problems.
We're excited to share our latest research on AI and software development. Our research team explores cutting-edge topics in artificial intelligence, software architecture, and human-AI collaboration.
Software Architecture 2.0
Your Codebase is a Monolith. AI is Coming for It.
Rearchitecting software for effective AI collaboration
This research explores how the rise of AI coding assistants is challenging traditional monolithic software architectures. We analyze the limitations of current AI models, introduce principles for building AI-friendly codebases, and examine why strategic rewrites—historically discouraged—might now become critical to harnessing AI's full potential.
Read the full report →TypeLeap
Experiment in as-you-type intent recognition
TypeLeap is our experimental framework for real-time user intent recognition. This report details our approach to predictive interaction, where systems anticipate user needs based on partial input, creating more responsive and intuitive interfaces.
Read the full report →For more information about our research initiatives or to discuss potential collaborations, please contact us.