Martin Fowler argues that LLMs represent a fundamental shift in software development, comparable to the move from assembler to high-level languages.
Explains how to use Rust's Newtype pattern to safely abstract file name extraction from paths, replacing error-prone code.
Argues for organizing code with the most abstract functions first to improve readability and debugging efficiency.
A guide on learning React effectively, focusing on understanding JavaScript fundamentals and the costs/benefits of abstractions.
The article introduces AHA Programming, a principle advocating 'Avoid Hasty Abstractions' and preferring duplication over bad abstractions for more maintainable code.
A developer questions the pursuit of 'clean code' after refactoring for DRYness makes the codebase harder to understand.
A former React team member explains the core technical principles that guide the React team's approach to API design and problem-solving.
A talk transcript explaining why files and filesystems are complex, error-prone abstractions for developers, using Dropbox as a case study.
Explores the AHA (Avoid Hasty Abstraction) principle for writing maintainable tests, contrasting it with overly abstract and non-abstract approaches.
Argues that deep understanding of software abstractions is not necessary for effective use, challenging a common belief in tech.
