Discover how tech professionals' perspectives on AI have shifted from initial skepticism to practical application. Learn how they leverage it as a tool for specific coding tasks while remaining cautious about its hype and limitations.
Discover the best tools and strategies for deep research on complex PDFs and Word documents. Learn why the 'pre-RAG' parsing step is crucial and see a ranked list of top solutions.
Explore the key differences between Model Context Protocol (MCP) and RAG. Learn how MCP servers empower LLMs to perform actions and interact with live data, and discover practical use cases and best practices.
Discover why many developers are moving away from Synology and exploring powerful, cost-effective alternatives. Learn about DIY NAS builds using Raspberry Pi or old PCs, and new market contenders.
A promising fund promised a quick decision but is now dragging its feet. Explore battle-tested advice on how to interpret this 'soft no' and what steps to take to close your round and get back to building your business.
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 a variety of personal data backup and sync strategies, from simple rsync scripts to advanced ZFS snapshots and encrypted cloud backups with tools like Restic, Borg, and Syncthing.
Discover how to implement intelligent tiering for your logs to significantly reduce storage costs while maintaining necessary access. Learn from a practical multi-tier approach and understand the importance of analyzing query patterns.
Hacker News users discuss why they choose local NAS over cloud storage, detailing preferred use cases, hardware specs like silent operation and 10Gbps networking, and pain points like remote access security.
Hacker News users discuss whether the intense hype around Artificial General Intelligence (AGI), fueled by chatbots, could lead to public disillusionment and a new AI winter, or if current AI advancements offer value regardless.