Amazon's anti-tokenmaxxing memo says engineers should be pickier about using AI
- ID
- 40106
- Status
- summarized
- Published
- 28 Oct 2026, 2:57 AM
- Fetched
- 28 Oct 2026, 2:58 AM
- Provider
- CNBC Technology
- Category
- technology
- Original URL
- https://www.cnbc.com/2026/10/27/amazon-ai-coding-tokenmaxxing.html
- Source URL
- https://www.cnbc.com/id/19854910/device/rss/rss.html
Summary
- Score
- 7.0
- Created
- 28 Oct 2026, 2:59 AM
- Tags
- Audience
- developersvibe_codersai_agent_userssaas_founders
What happened
Amazon circulated an internal memo in September, posted publicly to its website on Tuesday Oct 27, 2026, telling software engineers to be pickier about AI use and calling token usage and code-generation volume "deeply flawed" measures of AI adoption. Amazon had shut down an internal AI leaderboard in May after finding employees were tokenmaxxing. The memo also revises how the company defines software development engineer and manager roles in the AI era.
Why it matters
If you track AI adoption by tokens spent or lines generated, this is a direct counterexample: Amazon killed its own leaderboard in May because that metric drove gaming rather than productivity. Pick a different signal before you roll out any internal AI scoreboard — one tied to shipped work, review load, or defect rate — or you will get the same behaviour.
Discussion angle
What would you actually measure instead of tokens — merged PRs, review latency, escaped defects? And does a leaderboard ever survive contact with a team, given Amazon's lasted until May?