Explore effective strategies for small teams to maintain productivity and alignment with minimal process, from simple text-based task tracking to robust, lightweight methodologies like XP and advanced tools like org-mode. Discover how the right structure—or lack thereof—can empower experienced teams and guide new ones.
Struggling to pick your next programming language? Discover practical strategies from experienced developers, focusing on problem-solving, ecosystem quality, paradigm exploration, and market relevance.
Unlock the complexities of concurrent programming with expert advice on hands-on projects, must-read books, and essential theoretical concepts. This guide offers practical strategies for learning concurrency, whether you're a Java developer or exploring other languages.
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.
Discover a range of innovative projects built using 'vibe coding' with AI tools like ChatGPT and Claude Code. Learn practical tips for rapid development, from managing AI-generated code to architectural insights.
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 historical, technical, and security reasons behind why memory stacks typically grow downwards, and discover alternative architectures that chose an upward growth path.