Explores a software library with no code, using AI agents to generate implementations from specifications and conformance tests.
An experiment in creating a software library with no code, using AI agents to generate implementations from specifications and tests.
Analyzes gaps in current API documentation tools for TypeScript libraries and proposes the need for a standardized API model.
Argues that scientific progress requires reusable software libraries, not just reproducible results, and discusses challenges in computational research.
Argues for better scientific computing tools, emphasizing readability, reproducibility, and open-source libraries as crucial for research.
