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Developer discovers that automating their job reveals organizational and workflow problems, not technical limitations
Hacker News · April 14, 2026
AI Summary
- •Engineer successfully built an AI system capable of performing their job end-to-end, proving technical feasibility wasn't the barrier
- •The real obstacles encountered were organizational, process-related, and cultural challenges within the workplace
- •Implementation revealed inefficiencies and unclear workflows that the automation process exposed
- •The experience suggests that job automation failures are often due to business factors rather than AI capabilities
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