An analysis of why LLMs are currently better suited to augment engineers than replace executives, focusing on the critical roles of accountability, human leadership, and true innovation that AI cannot yet fulfill.
A guide for developers on adopting AI coding assistants, covering top tools like Cursor and Claude, effective workflows like maintaining a context file, and best practices to avoid common pitfalls.
Explore the pros and cons of using languages like Python, C++, Rust, and OCaml to build your own programming language. This guide covers key considerations and essential tools like ANTLR, Lark, and LLVM.
Developers share their regrets about open-sourcing work, from corporate exploitation and user entitlement to licensing mistakes and personal burnout. Learn from their experiences to navigate the challenges of sharing your code.
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.
Wondering why your new idea is met with silence? Learn how to interpret a lack of feedback and discover strategies to improve your pitch and engage your target audience.
AI coding assistants promise to boost productivity, but many developers find they destroy the focus and enjoyment of a 'flow state.' Discover the practical strategies and mindset shifts developers are using to stay productive and engaged in the age of AI.
A deep dive into the debate over AI's environmental impact, from its massive energy and water consumption to potential solutions like clean energy and hardware efficiency.
A deep dive into why Windows ME was so notoriously unstable, exploring its architectural limitations, the explosion of third-party drivers, and how it compared to the more robust Windows 2000/XP.
Exploring the pros and cons of time tracking for productivity and mental clarity. Discover whether it's a powerful tool for focus or just another distraction, and learn alternative methods to manage your priorities.