Engineering Insights

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Thoughts on building digital products, engineering culture, and modern tech.

Blog

Practical notes from AI product engineering.

Article 01

Building AI Products That Don’t Fall Apart Under Real Users

Why your prototype works great in dev but collapses in production — and the system patterns that prevent it.

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Article 02

Agents in Production: What Works, What Breaks, What We Learned

A brutally honest breakdown of deploying agents into workflows where mistakes actually cost money.

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Article 03

Latency in LLM Apps: The Silent Killer of User Experience

Token streaming, batching, caching, and when you should actually switch models.

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Article 04

A Founder’s Guide to AI Prototyping (In Under 48 Hours)

What to build first, what to ignore, and how to hit proof-of-value before you run out of energy.

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Article 05

Designing for AI Latency: UX Patterns for Slow Models

Skeletons, progressive reveals, and UX tricks that hide model delays while keeping users calm.

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Article 06

Vector DB Myths That Waste Founder Time

Why retrieval performance has nothing to do with just picking the right database.

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