An analysis of why AI coding tools like Claude Code and Cursor have captured developer mindshare, exploring their superior UX, effective pricing models, and the shortcomings of competitors like Gemini.
Measuring individual developer productivity is a common goal, but it often backfires. Discover why focusing on team-level predictability and direct communication is a more effective strategy for engineering success.
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 C-level exec claimed 95% of their company's code is written by AI, sparking a debate. Discover how software engineers are actually using AI tools, the real productivity gains, and why the job is evolving, not disappearing.
Developers discuss the real risk of skill erosion from using AI copilots and share practical strategies, like the 'intern' mental model, to leverage AI's speed without sacrificing deep understanding.
Feeling underwhelmed by AI's impact on your coding productivity? Discover the specific strategies and targeted use cases that developers are using to achieve real gains, moving from hype to helper.
Developers discuss the mental fatigue from switching between manual coding and AI tools, sharing causes like flow disruption and dopamine crashes, plus strategies to cope.
Discover how developers are crafting their ultimate AI-assisted coding setups, blending IDEs like Cursor and VSCode with multiple LLMs, and refining workflows for enhanced productivity.
Exploring whether programmers are truly lagging if they're not using AI for coding. This discussion offers diverse developer viewpoints, practical tips for AI adoption, and concerns about skill preservation.
A Hacker News discussion explores why many programmers still prefer 'old-fashioned' coding without LLMs, citing joy, understanding, and learning concerns. Is AI-free coding obsolete or essential?