Tech, but with personality
AI/Platform Engineer @ SAP Labs and fresh graduate from Amrita Vishwa Vidyapeetham. Love robotics and AI. Building AI frameworks. Dopamine to me is learning something new every day. I even have an agent deployed on GCP for that.
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The "read the guidebook the airline publishes" analogy for MCP is the clearest framing of it I've come across. It captures that the agent isn't hardcoded against one API, it discovers capabilities a provider chose to expose, which is what makes the pattern scale across tools. Where do you see the boundary landing on what a provider should and shouldn't expose through it?
My laziness is my JARVIS moment which made me fall in love with the idea of something else doing the work for me 🤧😂
Kavya Sree Kammari
Ishvarya
Hey Kavya, Loved the way you’ve structured the article. The fact that you started with what’s already there (LLMs) to what’s being adopted ( Agentic AI) and then you go on to connect the dots with the “how” part of it - puts the whole article into perspective! Can’t wait for the next one…