Struggling to pick your next programming language? Discover practical strategies from experienced developers, focusing on problem-solving, ecosystem quality, paradigm exploration, and market relevance.
Explore the primary programming languages actively used by IT professionals, revealing real-world preferences distinct from typical popularity stats.
Explore a developer's shift to FreePascal for low-level programming, diving into its features, challenges, and alternatives like Ada, C#, Nim, and more. Discover modern options beyond traditional C/C++ for systems development.
Discover actionable advice for re-entering the tech industry after a teaching career. Learn how to build a powerful portfolio, choose the right tech stack, and leverage your unique background to land a junior developer role.
Explore fascinating technologies and products that were abandoned before their time, from groundbreaking operating systems to visionary web platforms, and learn why their potential was never fully realized.
Explore the pioneering programming languages that emerged alongside or before Fortran, shaping the landscape of high-level computing. Delve into the historical context and foundational design choices that defined early programming paradigms.
Explore the desire for a deeply programmable web browser offering an integrated IDE and support for modern languages. Discover existing attempts like XUL/XPCOM, Nyxt, and Luakit, and the challenges in achieving a Smalltalk-like environment for power users.
Developers are looking for languages that balance simplicity with powerful features. This analysis explores compelling alternatives like Clojure, Julia, Standard ML, and Ada, each offering a unique philosophy on productivity and correctness.
Developers share their real-world experiences and practical tips for using Claude Code and other AI assistants effectively, covering everything from prompt strategy and language choice to advanced tooling.
A deep dive into the common frustrations of modern software development, from declining documentation quality and complex tooling to the double-edged sword of AI-generated code.