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When Engineers meet AI

Kannan Kalidasan

An engineer writing about Open Source AI, Software Agents, Physical AI and AI Engineering for builders who lead and leaders who build.

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Substack
PricingOnly free issuesPublishesWeekly
Issues63Founded3 years agoLast Issue4 days ago
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Latest Issues

Dense vs MoE Models Explained

Yesterday, I ran out of tokens in OpenAI Codex while oxidizing parts of my Python codebase into Rust. It was around 11:30 PM, and I had to wait another two hours for the limits to reset.

That moment felt strangely familiar.

Just like how...

4 days ago
4

Measuring Local LLM Performance Across Two Macs

I’ve been using a Mac Mini (M1, 2020) for a while now, both for personal use and for running local models. Recently, after getting a MacBook Pro (M5 Pro), I found myself curious about how much of a difference the new machine would actually...

24 days ago
8
2

Artifacts – April ’26 Edition

Hello Engineers 👋🏽

Welcome to April month’s 2026 newsletter. First of all thank you all for the great support !

Let’s dive in

Capability vs Responsibility

One thing I’ve noticed over the years, especially stepping into senior role...

2 months ago
2

The Next Layer of SRE: AI Reliability Engineering

When your phone app crashes, you notice immediately. When a website goes down, the failure is obvious. But when an AI system fails, it’s often quiet and easy to miss. A recommendation model might slowly drift into bias or a chatbot might co...

2 months ago
7

Artifacts – Mar ’26 Edition

Hello Engineers 👋🏽

Welcome to March month’s 2026 newsletter. First of all thank you all for the great support !

Let’s dive in

Being Pragmatic at Work

Early in my career, as I transitioned away from junior engineering roles, I ofte...

3 months ago
2

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  • Kannan Kalidasan

    Read about how to create scalable, intelligent systems; spanning Data, AI Tooling, Software Engineering, and Engineering Philosophy.

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