An experiment in creating a software library with no code, using AI agents to generate implementations from specifications and tests.
Explores a software library with no code, using AI agents to generate implementations from specifications and conformance tests.
Explores the philosophical differences in cryptographic library design, focusing on algorithm inclusion, misuse-resistance, and user expectations.
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.
Discusses the critical role of well-designed APIs in software development, using personal experience with Python's Requests library as a key example.
Argues for better scientific computing tools, emphasizing readability, reproducibility, and open-source libraries as crucial for research.
