Adapt or Get Left Behind in 2026 with Sonali Sahu

There are two kinds of backend engineers in 2026: the ones adapting, and the ones about to find out why that mattered. Google, Stripe, and Airbnb are already asking AI system design questions in regular backend interviews — not just ML roles.

This book closes the gap in 6 weeks. Inside:

• Backend fundamentals (caching, load balancing, databases, CAP theorem) + LLM fundamentals (RAG, tool calling, agents)

• Real, recently-reported system design questions from Google, Stripe, and Airbnb — including the AI infrastructure prompts now hitting general engineering loops

• How LLM costs actually work, with real worked math

• 7 case studies from real production failures — and a full walkthrough of how a conversational AI answers a question, start to finish

• A 6-week runbook: zero AI experience → deployed portfolio project

Every chapter: plain-language explanation, technical depth, a real example, key takeaways, common pitfalls. Built for backend engineers — not beginners.

The engineers who close this gap now walk into their next interview ready. Don’t be the one explaining, in real time, why you’ve never touched RAG.