Ajin Baby · AI Platform & Cloud Infrastructure Architect
Making cloud run itself,
without losing control of it.
Designing AI-enabled cloud platforms — from agentic infrastructure and MCP servers to self-healing systems — for safety-critical and regulated industries.
I ship this in production at a global aviation-software company. The book, research, and code on this site are all free.
The book
Self-Healing Infrastructure
Building Autonomous Cloud Systems with AI
Most writing about AI and infrastructure stops at the demo. This book starts on the day the model is confidently wrong at 3 a.m. and an auditor asks who authorised the action it took.
Research
Preprints on reliability engineering for AI-enabled infrastructure, each with runnable companion code. They're self-published and not peer reviewed.
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From Incident to Failing Build: Incident-Derived Regression Testing for AI-Agent Guardrails
A corpus of ten publicly documented AI-agent production failures, normalised into runnable reproductions behind a CI gate, with a measured ablation showing which guards are load-bearing and what configuration drift costs.
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Stateless Protocol, Stateful Problem: Durability, Retry, and Retention Policy for MCP Tasks
The MCP Tasks extension specifies a lifecycle and leaves the operational policy open. A measured study of durability, poll cost, failure classification, and a client/server coupling that silently cancels live work.
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Error Budgets for Autonomy: SLO-Driven Authority Management for Autonomous AI Operators
Transplanting SRE error-budget semantics onto agent authority: a blast-radius-weighted budget and an asymmetric authority ladder, with a measured simulation study.
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Stable by Design: A Control-Theoretic Account of AI-Driven Self-Healing Remediation Loops
Self-healing systems fail as loops, not decisions. A control-theoretic model of AI remediation, its instability modes, and the constructs that settle them — measured.
Latest field notes
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340 of the Top 1,000 GitHub Repos Ship an AGENTS.md. I Linted Them.
A third of the most-starred repos carry agent instructions. What's in them, what research says belongs there, and why my linter was wrong at first.
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A Three-Agent Vote Can Add 9.6 Points at Most: The Break-Even Math of Multi-Agent Systems
Closed-form models for voting, verifiers, pipelines and fan-out, checked against Monte Carlo and the research. When a second agent pays for itself.
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I Killed an Agent 120 Times to See What Durable Execution Actually Buys You
SIGKILL at every step boundary under four persistence policies. Only one had zero duplicate side effects, and the fix wasn't on the agent's side.
Tools I build in the open
Who's writing this
I'm Ajin Baby: 15 years in cloud infrastructure and platform engineering, now a Staff Software Engineer working on AI platforms. Along the way I co-founded two companies and grew one from $500 in capital to ~$500K ARR across 110+ countries. IEEE member; MS in AI in progress. More about me →