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Sagar Thakkar
Writing

Notes from the field.

On distributed systems, the maths underneath them, and the leadership work that turns design into shipped software.

This blog is written from production, not from documentation: AI decisioning systems in regulated businesses, agent architectures that survive audits, queueing and capacity maths, and the trade-offs behind cloud and event-driven designs. Every post is anchored to a system I have built or reviewed, with the numbers I can defend. Longer pieces are cross-published on Coding Layman, where the same ideas are rewritten in plain language for readers earlier in the journey. If you want the short version of any article, each one opens with a TL;DR built for skimming.

★ START HERE Architecture

I built a 51-agent AI system. Here's what no tutorial will teach you about multi-agent orchestration.

The model was never the hard part. Orchestration, routing, and failure modes are. Here's the architecture.

12 min read →
Architecture
The AI Loan Officer Exists. The Hard Part Is Everything Around It.AI loan decisions are lifecycles, not responses: async intake, queued workers, human-review loops, and an audit trail regulators can trust - end to end.
Architecture
Why Architects Can't Ignore Knowledge Distillation of Black-Box LLMsProprietary LLM costs explode at scale. Here's how to compress frontier models into deployable, cost-effective alternatives you actually control.
Maths
Why Numbers Are Not Enough: Scalars vs VectorsMost people believe mathematics starts with numbers. That belief works-until it doesn't.
Architecture
Token-Based vs Session-Based Security: An Architect's PerspectiveA practical breakdown of session vs token security, when to use which, and modern best practices.
Architecture
The Insight That Unlocks Linear Algebra for EngineersDiscover why matrices are not just tables of numbers, but functions in disguise. A paradigm shift that transforms how engineers think about systems, transformations, and architecture.
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Occasional, in-depth writing on distributed systems, AI agent architecture, and engineering leadership. No spam, unsubscribe anytime.