SRSwati Rawatinagentic-ai-toadster.hashnode.dev·8h ago · 10 min read What a Senior Developer's Rate Is Actually Paying For (Hint: It's Not Code Output)Every engineering manager who's evaluated offshore vendors has had this moment: two proposals land on the desk, same headline rate, wildly different team compositions underneath. One has a tech lead d00
SRSwati Rawatinagentic-ai-toadster.hashnode.dev·1d ago · 9 min readWhat Happens When You Test Full-Stack Engineers for Algorithms Instead of Production InstinctsA few months ago, a Seattle engineering team watched its core payment and ingestion service go down for 45 minutes during a peak traffic window. The stack was familiar: TypeScript and Node.js, Postgre00
SRSwati Rawatinagentic-ai-toadster.hashnode.dev·6d ago · 10 min readFrom Prototype to AI-Powered: How Native Apps Scale Faster Than You ThinkYou have an idea for an AI-powered app. You sketch it on a napkin. Three weeks later, you have a working prototype. It's rough, but the core concept works. This is the moment that matters most. You co00
SRSwati Rawatinagentic-ai-toadster.hashnode.dev·Sep 25 · 21 min readThe Layer Between Retrieval and Generation That Most RAG Systems Never BuildYour retrieval recall sits around ninety percent. The reranker is tuned. The embedding model is appropriate for your domain. You spot checked twenty queries and the correct chunks came back every time00
SRSwati Rawatinagentic-ai-toadster.hashnode.dev·Sep 24 · 13 min readBuilding AI Applications That Know Things and Do Things: The Case for RAG Plus MCPThere is a question that comes up early in almost every serious AI application project. "Should we use RAG or MCP?" It is the wrong question. RAG and MCP do not solve the same problem. They do not com00
