notes from the field
Making cloud run itself,
one agent at a time.
Hands-on writing on agentic infrastructure, MCP, and reliability — from someone shipping it in production at a Fortune-500 aviation platform, not theorizing about it. By Ajin Baby.
Right now:
Latest field notes
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Agentic AI Patterns: The Decision Guide (Part 1 of 3)
Six named agentic AI patterns — ReAct, Plan-and-Execute, Critic loop, Parallel fan-out, Human-in-the-loop gate, and Supervisor — with a decision flowchart and quick-reference table for picking the right architecture before you build.
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Agentic AI Patterns: The Maturity Model (Part 3 of 3)
A five-level maturity model for agentic AI — from manual to multi-agent mesh — with a self-assessment to find where your team sits, what the jump to the next level actually requires, and where regulated industries should draw the line.
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Agentic AI Patterns: Where They Break in Production (Part 2 of 3)
Every agentic AI pattern looks clean in a demo. Here's where each one fails in production — the subtle failure modes, the operational signals that you're hitting them, and the mitigations that actually work.
Tools I build in the open
Who's writing this
Ajin Baby — 15 years making cloud platforms reliable, 2x founder before that. Azure AI Engineer, Neo4j Certified, IEEE member. More about me →