Aspect Research
An independent lab working on reliability and context for AI coding agents.
Aspect Research studies how AI coding agents fail on real codebases and what makes them reliable in practice. Work spans shipped tools, published methodology, and exploratory experiments in autonomous agents. The lab is currently led by Asa Shepard.
Projects
Open-source CLI that generates and maintains repository context for AI coding assistants.
Papers
A methodology for refining repo-level guidance via synthetic behavioral probes; ~50% relative improvement on SWE-bench Verified resolve rate.