Developers share their real-world experiences as companies push for AI adoption. Explore the spectrum of policies from forced use to outright bans, and learn where AI tools actually help versus where they hinder productivity.
An analysis of the AI Engineer role reveals it's often less about building new models and more about practical application development using LLMs, RAG systems, and strong software engineering fundamentals.
Explore real-world production applications of LLMs that go beyond chatbots, including advanced text classification, internal automation with SQL agents, and cost-effective data processing strategies.
Discover why prioritizing 'being' over 'doing' is a more meaningful measure for life. Learn from personal stories about the value of presence, connection, and living with less regret.
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.