Amazon tells software engineers business impact matters more than AI usage
Amazon warns engineers against chasing empty metrics.
The short version
- AI coding tools change how software gets built.
- Real customer results matter most now.
- Managers must watch teams at both ends.
Amazon, the massive online retailer and cloud computing giant, just issued new guidelines for software engineers in the AI era. Terk Terkowitz, an Amazon vice president and distinguished engineer, said in a memo published Tuesday that artificial intelligence is changing software development faster than earlier shifts such as cloud computing.
But engineers should be judged by their impact on customers and the business, he wrote, not simply how much they use AI, according to Business Insider. AI coding tools and agents are upending the software industry and changing what it means to be a coder.
Amazon calls this the era of the Renaissance Developer, where human judgment and machine intelligence combine to create new products and services faster. The updated guidelines reflect Amazon's growing effort to make AI adoption part of how it assesses engineers and engineering managers.
The company previously tracked measures including AI usage, token consumption, and lines of code internally, and used leaderboards to rank teams. But the memo warns that using such measures as targets can produce bad outcomes, including tokenmaxxing rather than better software. Terkowitz said Amazon has found that metrics such as token use can correlate with the outcomes it values, but they must be used carefully.
He recommended that managers pay particular attention to teams at both ends of the AI adoption spectrum, checking the bottom 10 percent to understand why they are lagging and the top 10 percent to see if heavier use brings faster delivery. Amazon still expects leaders to use AI tools on production work themselves and urges engineers to incorporate the technology into their daily work.
Photo: SounderBruce, CC BY-SA 2.0, via Wikimedia Commons
