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.
Discover the best strategies for finding free AI coding assistants. Learn about the trade-offs between cloud services with limited free tiers and the powerful, cost-effective alternative of running models locally.
An analysis of why many skilled software developers are hesitant to adopt AI coding assistants, citing concerns over code quality, long-term maintainability, and the nature of their work.
Discover which AI models developers are actually using for coding assistance. Learn the specific strengths of tools like DeepSeek, Claude, Gemini, and QWEN Coder for tasks from prototyping to bug fixing.
Discover a collection of invaluable 'tricks of the trade' from seasoned professionals, covering everything from writing better documentation and code to making smarter financial decisions and finding a healthier work-life balance.
An analysis of how software engineers are truly feeling about AI tools, exploring the deep divide between reported productivity boosts and the frustrating reality of debugging AI-generated 'slop'.
A guide for developers on adopting AI coding assistants, covering top tools like Cursor and Claude, effective workflows like maintaining a context file, and best practices to avoid common pitfalls.
Discover the key engineering strategies and massive infrastructure that enable services like ChatGPT to handle hundreds of millions of users, from the power of batched inference to advanced model optimization techniques.
Developers share their practical setups, workflows, and pain points for running LLMs locally. Discover why privacy, coding assistance, and offline access are driving the shift away from the cloud.
AI coding assistants promise to boost productivity, but many developers find they destroy the focus and enjoyment of a 'flow state.' Discover the practical strategies and mindset shifts developers are using to stay productive and engaged in the age of AI.