When a business line was put on hold and the organization was ready to rewrite everything, I diagnosed differently: the architecture was not broken, the execution was.
A dedicated team had been built to manually process thousands of refund requests per day. Nobody had asked why the requests existed in the first place.
Most scaling problems are diagnosed after the team breaks. I designed the solution before hiring the first engineer.
When the company cut 20% of my headcount, I increased satisfaction by 22%
Marco Biraghi
I'm a 35-year-old Senior Engineering Leader with 15 years of experience.
Specialized in real-time inventory, high-scale transactional systems and multi-partner
distribution marketplaces.
I have run systems processing close to 1 billion euro in
annual revenue, millions of transactions, dozens of distribution partners, 100+ countries.
I spent 1B tokens to find the state of the art in the actual Agentic AI SDLC landscape. I went over the hype or the skepticism. This article explores what I learned, what it works, what it doesn't work: so you don't have to do it yourself
Rigid engineering standards create an illusion of control while increasing systemic fragility. AI is driving code costs to zero: the true bottleneck is the cognitive overhead of bureaucracy.