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Notes from real delivery work and lessons teams can apply directly

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AI & Engineering

The pace car model only works when client engineers are in the work

Teaching while delivering builds AI capability faster because engineers learn the method inside production work while the roadmap continues to move.

James Barcellano

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AI & Engineering

I'm one person running 19 production workflows. Here's how.

How one V.Two engineer built and runs team-scale automation infrastructure solo using AI-native development

Tomas Cormons

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AI & Engineering

Pace car is not AI training. It is delivery with a transfer plan.

Learning by doing changes engineering behavior more reliably than standalone AI training because engineers apply new practices to real code, real constraints, and real quality gates

Kiana Micari

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AI & Engineering

Building scalable microservices: Lessons from 50+ enterprise deployments

Key insights and best practices for designing microservice architectures that scale from startup to enterprise

Alberto Pallares

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AI & Engineering

API design best practices for enterprise integration

Key insights and best practices for designing microservice architectures that scale from startup to enterprise

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