AI is not Making Engineers 10x as Productive
9 months ago
- #AI
- #Software Engineering
- #Productivity
- The author experienced imposter syndrome due to claims that AI makes engineers 10x more productive.
- After experimenting with AI coding tools, the author found AI's productivity claims to be exaggerated.
- AI is good at boilerplate code but struggles with larger codebases, standards, and security vulnerabilities.
- The math behind 10x productivity claims doesn't hold up when considering real-world bottlenecks like code reviews and human processes.
- True 10x engineers exist but their productivity comes from preventing unnecessary work, not just coding faster.
- AI hype is driven by a mix of mismeasurement, financial incentives, and managerial pressure.
- The author advises against sacrificing work enjoyment for perceived productivity gains from AI.
- Good leadership involves trusting engineers to adopt AI tools naturally rather than enforcing unrealistic expectations.