Forward-Looking Laziness: What Changes When AI Writes 95% of the Code
AI technology is significantly enhancing project delivery speeds, offering a potential 1.5× increase in efficiency. However, to achieve a more substantial organization-wide speedup of 3-5×, teams must develop a comprehensive AI strategy and master orchestration. While AI can handle many coding tasks, human oversight remains crucial for quality and creativity in problem-solving.
- ▪AI can replace simple coding tasks and accelerate complex ones, but human guidance is still necessary.
- ▪Project managers can utilize AI to create project plans and automate task scheduling.
- ▪The integration of AI allows teams to focus more on client interactions, which can improve product quality.
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Forward-looking Laziness: What Changes When AI Writes 95% of the CodeMarton Antal SzelApr 2111 min readAI-enhanced project delivery is great: it gives you a ~1.5× speedup almost for free. But making your team AI-native — and reaching a 3-5× organization-wide speedup — requires real mastery of orchestration on top of a well-designed AI strategy. In this article I walk through solutions to the individual-level dilemmas, the team-level challenges, and the organization-wide design choices that tend to become the real roadblocks to efficiency. I'll also suggest where to spend the saved hours — instead of simply handing them back to the client as a discount.I've tried to keep the advice generalizable, but my experience comes from projects built around coding and data analysis / modeling.
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