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Amazon Revises SDE Guidelines, Focusing on Real Impact Over AI Token Usage
Amazon released revised guidelines for Software Development Engineers, stressing that performance evaluations should focus on actual deliverables rather than AI adoption rates, token consumption, or code volume.
Amazon updated its SDE guidelines to redefine engineering expectations in the AI era. While encouraging AI adoption, Amazon noted that token consumption and tool usage do not directly reflect productivity. Managers are advised to evaluate extreme-usage teams to ensure meaningful output rather than relying on usage metrics.
Key takeaways
- The change follows an internal leaderboard incident where engineers ran unnecessary AI tasks to boost token rankings, prompting leadership to stress real business impact.
- The new guidance warns that using token or code metrics as targets risks inflation and complexity, suggesting managers instead examine the top and bottom 10% AI-using teams.
Source：iThome Read the original ↗
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