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Original published:
Why Outcomes Don't Increase Despite Faster Implementation with AI? The Engineer's Work in the New Bottleneck
AI summary
Editorial policyAs AI coding accelerates implementation, team bottlenecks have shifted outside the code, making non-scalable tasks like on-site visits and domain understanding crucial.
Key points
- •It is pointed out that mass-producing features with AI has no business meaning on its own.
- •Time saved by AI is being used for direct site visits, deepening domain understanding, and securing deals at trade shows.
- •The article explores the changing role of developers in the AI era through the practices of engineers who gather primary information on-site.
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