Dev Tools · 2h ago
The 80% Problem: Why AI Can't Finish the Job
Engineers often complete 80% of a project quickly, but the final 20%—polishing, edge cases, and integration—takes disproportionate effort. AI tools excel at the first 80% but struggle with the nuanced, context-dependent last mile. This gap means human engineers remain essential for delivering production-ready software.
Meridian48 take
The article rightly highlights that AI's productivity gains may be overstated if the hardest part of engineering remains stubbornly human.
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The 80% Problem: The Last 20% Is Where the Engineer Used to Live →
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