Learnings
a statement on why done is better than perfect with a way to work with constraints to force less-than-optimal deliveries
You can find bugs in your machine learning pipeline by checking how each feature interferes to the error of the model using XAI methods:
Don’t lead by example :eyes:
Work with yarn/npm packages locally for package development purposes, without publishing those packages to the remote registry.
A curated list of awesome test automation frameworks, tools, libraries, and software for different programming languages.
Forgiveness as a design principle
The best products & websites for UI/UX designers.
UI cheat-sheet for buttons
A terminology guide to make our interfaces more consistent.
Quickly improve code readability with Proximity Refactorings: "Functions that are changed together should be moved closer together"
Interesting comparison of JavaScript bundlers
If you mock, are you even testing?
Convince managers to address Tech Debt with Enclosure Diagrams:
Metrics, tracing, and logging and how they fit together?
5 arguments to make managers care about technical debt:
Algorithms Behind Modern Storage Systems:
How to apply friction in UI design to prevent user errors.
The process of mastering a skill:
Eight tips to relieve those Postgres headaches:
Case study about Notion performance
Pickle’s nine flaws:
Markdown Preview Enhanced - a Visual Studio Code extension that provides a nice visualization of markdown files
Benchmarking — a 6-step plan for assessing your competition:
