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Autonomous AI Architect

Sumant Thakur

The definitive guide for technical leaders navigating the shift to Agentic DevOps and autonomous infrastructure. I explore large-scale AI system design, enterprise delivery velocity, and how autonomous agents are reshaping engineering teams.

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Substack
PricingOnly free issuesPublishesTwice weekly
Issues88Founded2 years agoLast Issue5 days ago
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Latest Issues

The Same Model Is Not the Same Agent


Hugging Face’s FineEnvs team recently published one of the most useful AI engineering posts I have read this year:

The ultimate guide to multi-harness RL

It is part technical guide, part open-source framework, and part research rep...

5 days ago
3

I Ran Multiple Coding Agents. The Code Was the Easy Part.

Kiro Crew orchestrates Codex and OpenCode in isolated Git worktrees, followed by independent review, an evidence package, and human approval.


I used Kiro Crew to coordinate a small multi-agent coding experiment.

Codex and OpenCode...

12 days ago
9
7

Jev Changes the Contract Between AI and Software


Most AI models give software the same thing they give humans:

More language.

Jev does something different.

Give it some state and a bounded question, and instead of generating another paragraph for your application to interpret, i...

19 days ago
4
4

The AI Pacing Debate Reveals a New Kind of Technical Debt


The AI industry is suddenly talking about pacing.

Most of the discussion is about whether safety, security, and evaluation can keep up with rapidly improving model capabilities.

OpenAI recently disclosed that it had temporarily slo...

a month ago
5
7

GPT-6 Astra Lets Codex Search Its Past. The Hard Problem Starts There.


When I started building a planner–builder–reviewer harness around coding agents, I assumed model quality would be the main bottleneck.

It was not.

The harder problem appeared after the agent had already done useful work.

Thanks fo...

a month ago
7
2

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  • Sumant Thakur

    Flurit AI | Founder | AI Entrepreneur | Ex-McKinsey

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