Amazon published an internal memo from its engineering leadership on 27 October about the role of developers in the age of AI. The memo says engineers are assessed on long-term outcomes for customers, the business and the team, not on use of AI tools, token consumption or the number of code changes. It warns that treating those measures as targets can raise costs and complexity. The company says it has not capped token use, but that usage data should be applied with judgement.

What it means: The memo touches a problem showing up at many software companies: when management wants to see fast AI adoption, it measures what is easy to measure, such as tokens consumed or lines of code produced. Those measures reward quantity rather than value, and can lead to more code that someone has to review and maintain, plus API bills that grow without matching benefit. A company of Amazon's size formally closing that path is a useful signal for the whole market. For Greek development teams now paying significant sums for AI coding tools, the practical lesson is to measure outcomes such as time from idea to production, defects reaching customers and time to restore service. Alongside that, a monthly review of token costs per team is worthwhile, not to punish usage but to spot cases where consumption rises without delivery improving. That way AI is treated as a tool rather than a goal in itself.

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