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Amazon warns engineers just using more AI doesn't make them more productive, says they should avoid tokenmaxxing

"Deeply flawed" metrics such as AI token usage aren't always a good measure of success, Amazon tells engineers.

Amazon warns engineers just using more AI doesn't make them more productive, says they should avoid tokenmaxxing

Amazon's leadership is cautioning engineers against relying solely on the use of artificial intelligence (AI) to boost productivity. In a memo to its workforce, the company warns against "tokenmaxxing," a term used to describe the excessive or improper utilization of AI tools. Instead, Amazon urges its developers to concentrate on achieving tangible results and forming deeper connections with customers.

In the memo, entitled "An update from Amazon engineering leadership on the role of the developer in the age of AI," Terk Terkowitz, Amazon's VP/Distinguished Engineer, Worldwide, emphasizes the emergence of a new era in software engineering. The "Renaissance Developer" is one who effectively combines AI tools with human judgment and domain expertise to create innovative solutions.

Terkowitz acknowledges that AI is transforming the work of software engineers more rapidly and fundamentally than previous technological shifts. This change necessitates a shift in how Amazon's Software Development Engineers (SDEs) operate. The company will prioritize the impact on customers, businesses, and teams over metrics such as AI token usage or code generation, which are deemed "deeply flawed."

The memo also underscores the importance of managers and division heads ensuring their teams comprehend the benefits of AI tools. Moreover, Amazon encourages its workers to become "deeply connected" to their customers to gain a deeper understanding of their needs. Terkowitz concludes that while the rapid pace of change in AI's influence on software engineering might leave some behind if they fail to adapt, the company believes this is only the beginning of AI's impact on the field.

Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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