Going from 0 to 1: How to write better unit tests when there are none
When I joined Graphite, there were almost no tests in the entire codebase. Out of the team of five engineers, three had previously worked at Meta — and had internalized the poor testing culture practiced there.
Design Patterns are typical solutions to commonly occurring problems in software design. They are blueprints that you can customize to solve a particular design problem in your code.
Regexes Got Good: The History And Future Of Regular Expressions In JavaScript — Smashing Magazine
Although JavaScript regexes used to be underpowered compared to other modern flavors, numerous improvements in recent years mean that’s no longer true. Steven Levithan evaluates the history and present state of regular expressions in JavaScript with tips to make your regexes more readable, maintainable, and resilient.
When I was first starting out in software engineering, it felt like there was a never-ending barrage of tooling to learn. After more than a decade in CLI environments, I still find myself constantly learning new features and fun facts - but it’s fairly rare that I learn something new that I end up using day-to-day. I wanted to share some things I learned at relatively late stages in the game that ended up being significant productivity boosters for me - perhaps some of them are well-known, but in the spirit of this XCKD, I hope that someone reading this might pick up something new.
The Silent Crisis in Open Source: When Maintainers Walk Away
Maintainer transitions can create a lot of challenges. That's why open source support through proactive measures like knowledge transfer and community engagement is so important.
New JavaScript Set methods are landing across browsers. Learn about sets, how you can use these methods to compare different sets, create new sets with specific properties, and more.
What is fault tolerance, and how to build fault-tolerant systems
Fault tolerance describes a system's ability to remain operational during errors, power outages, and other types of faults. How can you build a system that does that?
ACID stands for Atomicity, Consistency, Isolation and Durability. These are four key properties that most database management systems (DBMS) offer as guarantees when handling transactions. Most popular DBMS like MySQL [https://dev.mysql.com/doc/refman/8.0/en/mysql-acid.html], PostgresSQL [https://www.postgresql.org/about/] and Oracle [https://docs.oracle.com/cd/F51125_01/docs.85/SDS%20PI/acid-compliant-transactions.html#GUID-ECB79D66-46DE-4F48-93DC-8677E7BB44EF] have ACID guarantees out of the
Testing my website for visual regressions with Playwright snapshot tests
Making changes to websites is tricky, because even small changes may lead to visual regressions in the page layout. For example, changing a bit of CSS to fix something somewhere may blow up in a completely different place. I could just click around and make sure everything looks okay, but that is boring and error-prone. What if I told you that there is a way to make sure that every pixel on your site is perfect, staying just they way you intended it to be?
