An analysis of whether startups can be successfully built using AI 'vibe coding'. We explore the current limitations at scale, practical workflows for developers, and the rise of AI-generated 'slop apps' tied to course-selling.
Are you concerned about sharing sensitive data with ChatGPT? Explore the growing trend of running open-source LLMs locally for complete privacy and discover the tools and techniques to protect your information.
Discover practical strategies, from encrypted data vaults to simple paper notebooks, for ensuring your family can access your digital accounts and assets after you pass away.
Feeling stuck in a cycle of unstable startup jobs? Explore practical strategies for building a resilient software development career, from specializing in a niche to finding new geographic opportunities.
Experienced software engineers discuss the real impact of AI on their careers, offering practical advice on how to adapt, specialize, and find meaning beyond the hype.
Developers debate the C programming language, weighing its unparalleled control and proximity to hardware against its notorious lack of safety and the modern alternatives that prioritize productivity and security.
The 'Tea' app suffered multiple major data breaches, yet remains on the App Store, prompting a debate about Apple's review process, financial incentives, and the software industry's lack of accountability for user data.
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.
What happens if crypto crashes? An analysis of Bitcoin's future, exploring short-term systemic risks from corporate treasuries and the long-term debate over its network security model.
Discover the AI developer assistant setups that professionals are actually using to boost productivity. From combining Claude and Copilot to self-hosting models, learn about the workflows that work best in 2025.