In my previous article, I explored the journey from AI → GenAI → Agentic AI and also emphasized why being hands-on still matters, even when AI can generate code in seconds. The role of developers is clearly evolving—from pure builders to reviewers, orchestrators, and system designers. Today, AI Agents are everywhere. We hear about systems that: Generate code, review, test and deploy it Perform tasks autonomously Integrate seamlessly with applications But there’s a gap.

Sensible Defaults - AI… Stage : Draft Building trust… Accuracy - c Helfullness - Safety - Latency - chlalnges Subjecitivyt - differet people … jitne muh utni baat… open-endeded ness - natual language… context sensitity - depending on time, use, scalability - human eval is gold standards,, but impossible… So even if automated evaluation is not perfect, still needed. Observability - in AI Loging LLM inputs (promts, settings, parameters), output (result, confidence score, .