𝗧𝗵𝗲 𝗟𝗲𝘃𝗲𝗿 𝗡𝗲𝗲𝗱𝘀 𝗮 𝗛𝗮𝗿𝗻𝗲𝘀𝘀

AI is fast. It writes code at a speed no human can match. But speed is a risk if you lack control.

I recently had to rebuild a complex trading system. I needed to support twenty thousand signals across equities, forex, and crypto. Each signal had its own market scope. This was not a model problem. It was a harness problem.

I used AI to design a plan of thirty tickets organized into six waves. I did not trust a single session to do the work. Instead, I used two separate AI sessions:

• The Builder: One session designed the code and the plan. • The Auditor: A second session checked the design before any code was written.

The first audit passed. I felt successful. Then I used a third AI to audit the entire design from scratch. It found fourteen high-severity contradictions.

The design looked good on the surface. It had structure and titles. But it lacked substance. One ticket referenced a column that another ticket had already renamed. Another ticket expected a field to be optional when the design made it required. These were not coding bugs. They were logical contradictions in the design.

If I had started coding, the system would have failed.

This taught me three things about working with AI:

A harness is the process you wrap around the model. It includes:

The model is the lever. The harness is what keeps that lever from breaking your system. Do not just buy a model. Build a cockpit.

Source: https://dev.to/whetlan/the-lever-needs-a-harness-14e9

Optional learning community: https://t.me/GyaanSetuAi