AI Coding Assistants Drive 55% Increase in Software Development Productivity

AI coding assistants — tools that suggest, complete, explain, and review code — drove a measurable 55% average increase in developer productivity across a ... read more

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"A 55% productivity improvement is not an incremental gain. It is a structural change in what software teams can accomplish. The implications for product development timelines are enormous." — GitHub CEO Thomas Dohmke, February 2026"

AI coding assistants — tools that suggest, complete, explain, and review code — drove a measurable 55% average increase in developer productivity across a ...

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This story has been selected for Corp Crunch because it highlights a meaningful shift in the corporate or industry landscape. It connects company actions, market signals, and stakeholder impact so decision‑makers can quickly understand what is at stake.

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AI coding assistants — tools that suggest, complete, explain, and review code — drove a measurable 55% average increase in developer productivity across a cohort of 10,000 professional developers studied by GitHub and McKinsey in Q4 2025 and published in February 2026. The gains were largest for boilerplate code generation, test writing, and legacy code documentation — tasks that previously consumed significant developer time without delivering proportional value.

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