Exploring diverse fallback job ideas and societal considerations as AI potentially reshapes traditional careers, from skilled trades and human-centric services to entrepreneurship and calls for systemic economic changes.
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.
Discover why the way we interact with LLMs—using decomposition, multi-perspective engagement, and a collaborative tone—may be more crucial than perfecting prompts.
Exploring whether Google uses Google Docs content to train AI like Gemini, with insights on official statements, terms of service, and practical data protection tips.
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.
Discover how companies are adapting their hiring processes for software engineers in the age of LLMs, shifting focus from coding to engineering, problem-solving, and AI tool utilization.
Exploring methods and community perspectives on how to contact users about old online posts when direct replies are disabled, including workarounds and the debate around direct messaging.
Founders often receive overly polite pitch deck critiques. Discover battle-tested strategies, including a tiered approach to VCs and leveraging peer networks, to get the brutally honest feedback needed for fundraising success.
Discover why AI models frequently use em dashes in their writing, stemming from training data and auto-correction, and learn practical keyboard shortcuts to type them yourself.
Can you effectively code on your phone? Developers share their experiences, favorite tools (SSH, Working Copy, Termux), and discuss the types of tasks best suited for mobile development environments.