Writing about AI engineering, staff augmentation, full-stack development, and what it actually takes to ship production systems.
RAG pipelines, fine-tuning, and agent architectures are powerful. But without production engineering, they stay in demo purgatory. Here's what actually works.
A detailed breakdown of total cost of ownership for each model, including recruiting, onboarding, benefits, management overhead, and attrition risk.
Server components, edge functions, caching strategies: what moves the needle on performance and developer experience, and what's just hype.
Not every product needs K8s on day one. A practical guide to infrastructure decisions that match your actual scale, not your aspirational one.
Trust is the biggest barrier to AI agent adoption in enterprise. Here's how to design for it, from architecture through UX.
Skip the LeetCode trivia. Here's a practical interview framework that actually predicts whether someone can ship production code.
