The AI Coding Productivity Paradox
New research shows AI coding tools make developers 19% slower on real codebases. Why the productivity promise doesnt match reality and what works instead.
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New research shows AI coding tools make developers 19% slower on real codebases. Why the productivity promise doesnt match reality and what works instead.
Throughout history, industries have borrowed experiences and methods from one another to innovate. An illustrative example can be drawn from automotive history.
Offering users a plethora of choices breeds confusion. Addressing a problem by multiplying the available options is akin to fueling a fire.
Scrum, Jira, and other project management tools are attempts at premature optimization when working with people. They tend to prioritize processes over people. However, software development should not be organized exclusively around processes. The key element is a team culture—a culture of self-management, constant testing, and collaboration within an endless feedback loop, akin to total football.