Explore a nuanced discussion on learning software design, covering the limits of reading code, the importance of hands-on experience, and a curated list of exemplary codebases and resources.
Explore a collection of abandoned projects and discover valuable lessons, including a detailed, practical guide for building a text classification and recommendation system using SBERT, k-means, and SVM.
Explore a showcase of weekend projects, from a tool for building intuitive WCAG-compliant color palettes and a CLI for analyzing PostgreSQL locks to deep dives into cognitive science and personal development.
Exploring whether to learn assembly on modern CPUs like ARM and x86-64, or simpler, classic architectures like MIPS and 68k. This guide covers the pros and cons of each approach for beginners.
An exploration into whether photographic memory is real, revealing the surprising social and emotional downsides of a perfect memory. The discussion suggests that the ability to forget might be a more valuable skill than total recall.
Exploring the use of AI to score online discussions based on quality instead of likes. While some aspects like civility are feasible, determining factual truth remains a major technical and philosophical hurdle.
As AI coding assistants become more prevalent, many developers express sadness about losing the creative aspects of their job. This analysis explores the debate, from fears of becoming a bored reviewer to the pragmatic view of AI as a tool for automating tedious tasks.
Exploring the debate between starting a child on a command-line interface for foundational learning versus a user-friendly GUI for immediate engagement. Discover practical tips and OS suggestions for your child's first computer.
Stuck on a bug with unclear documentation? Discover a developer's workflow for solving tough problems by exploring source code, trying alternative approaches, and crafting effective support tickets.
The term 'Artificial Intelligence' is often too vague. Explore the argument for using more specific language, like LLMs or machine learning, to foster clarity and manage expectations.