Calling an LLM API is the easy part. Shipping reliable AI features in production demands evaluation pipelines, retrieval layers, observability, cost controls, and guardrails. Here is what real AI engineering looks like in 2026.
Forward Deployed Engineers embed inside customer teams to turn messy enterprise data into shipped AI systems. Here’s how the role emerged, what FDEs actually do, and why it matters now.
Skip the tutorials and learn AI engineering the way it actually ships in production: pick a stack, build small, evaluate honestly, and deploy behind an API. Here’s the roadmap.
A field-tested walkthrough of your first week with DeepSeek Harness, from installation and prompt design to evaluations, tool wiring, and the operational habits that separate demos from production.
A working engineer’s day-by-day account of putting Grok through real tasks — code review, debugging, writing SQL, explaining logs, and creative work — with concrete prompts and honest verdicts.