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All writing ‹ Part 03 of 07 · Engineering in the AI Era: Same Work, More Return
Engineering · 2 min read

Back to First Principles: What Value Do You Provide?

Domain knowledge times AI productivity equals leverage. A failed interview and a production alert bot show why your judgment, not AI, sets the direction.

I once went to a job interview. When I reviewed it afterward, I noticed one thing. I did not know the business logic behind their code, so even with AI, I did not make much progress.

After that, I started to look at my value with one formula.

The leverage formula

Domain knowledge × AI productivity = Leverage Judgment (you)Where is the problem?Which fix is right?How big is the risk? Legwork (AI)Read logsWrite codeWrite reports
AI multiplies what you already know. Zero domain knowledge times any speed is still zero.

Providing value is something no era can overturn. So I went back to first principles and asked myself three questions:

  1. Does the value I provided before still pay well today?
  2. Can I use AI to create value that helps both the company and me?
  3. Can I give value to other people too?

A real example

Later, I built a bot that handles production alerts. When an alert comes in, AI reads the logs, finds the cause, writes the report, and opens a fix. I make the judgment calls: is the cause right, and is the fix safe?

One time, the fix was merged less than two hours after the alert. That was not AI’s work alone. I know the system, so I know which of AI’s conclusions I can trust and which I must check again.

AI gives suggestions. Checking that a suggestion is correct is still your job. AI Code Is Already Correct, So Why Review? uses a database example to show why this judgment matters so much.

Domain knowledge sets the direction. AI sets the speed. Without direction, speed means nothing.


Related: next, read why correct AI code still needs review, see What Does AI Accelerate?, or go back to the series overview: Will AI Take My Job?

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