A curated list of falsehoods programmers believe in, covering topics like names, addresses, time, and more to help avoid common pitfalls.
Awesome Falsehoods is a curated collection of articles documenting common false assumptions programmers make about various domains like names, addresses, dates, and networks. It highlights the hidden complexity in seemingly simple problems, helping developers avoid pitfalls and build more robust software. The project aggregates community-sourced lists that serve as educational references for anticipating edge cases.
Software engineers, system designers, and technical leads who need to build resilient applications handling real-world data. It's particularly valuable for developers working on internationalization, user identity systems, or any domain where oversimplified models can lead to bugs.
It provides a centralized, peer-reviewed resource to learn from others' mistakes, saving time and preventing costly errors. Unlike scattered blog posts, it offers comprehensive coverage across many domains, making it a unique reference for defensive programming and inclusive design.
😱 Falsehoods Programmers Believe in
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Aggregates falsehoods from dozens of areas like dates, geography, and human identity, providing a one-stop reference for diverse edge cases from the README's extensive category list.
Includes concrete examples from production systems, such as Etsy's decimal point error or UK company names with special characters, making pitfalls tangible and memorable.
Continuously updated with contributions, ensuring the list reflects evolving best practices and new falsehoods, as noted in the README's contribution guidelines.
Helps developers anticipate hidden complexities in seemingly simple domains, promoting more robust and inclusive software design by highlighting assumptions.
Acts as a warning system without providing solutions or code snippets, forcing developers to seek out separate libraries like libphonenumber for actual validation.
With over 20 categories and hundreds of external links, it can be overwhelming to navigate and apply relevant falsehoods to specific projects efficiently.
Relies on curated external articles that may become inaccessible or outdated over time, reducing the long-term reliability of the resource.
Lacks interactive elements or structured tutorials, making it less engaging for hands-on learners compared to courses or detailed documentation.