Discover the AI tools and workflows that professionals rely on every day, from advanced coding assistants like Cursor to clever productivity hacks for note-taking, language learning, and travel.
Exploring the dual impact of AI on education. Can personalized AI tutors revolutionize learning, or will they create an insurmountable academic integrity crisis that forces us to rethink assessment itself?
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.
Discover the debate on whether to be polite to your AI. Learn how tailoring your tone, from saying 'please' to being demanding, can dramatically improve your LLM's output.
Developers are moving away from the Cursor AI editor due to its new data-sharing policies. Discover the privacy-first alternatives they're adopting, including Claude Code and the open-source Continue.dev.
Developers discuss the pros and cons of open-sourcing projects when code can be used to train LLMs. Explore arguments about the value of code, intellectual property, and the core philosophy of open source.
A deep dive into why software products are using Discord for support, hiding valuable Q&A from search engines and LLMs. The discussion explores the trade-offs between convenience, user experience, and the surprising motive of avoiding data scraping.
Developers and tech enthusiasts discuss the implications of leading LLMs being proprietary, debating historical precedents, the viability of open-source alternatives, and the future of this transformative technology.
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.