Source page: McKinsey & Company

Commentary

Visual form

Bar chart.

Layout / body structure

A single chart places four vertical bars side by side, read left to right across developer tasks.

What is being compared

It compares the reduction in completion time for code documentation, code generation, code refactoring, and high-complexity tasks when generative AI is used.

Measurement system

The measure is percent reduction in completion time, with each task sharing the same vertical comparison even though the bar labels are carried beneath the columns.

Visible structure inside the graphic

Four uniformly styled bars carry the comparison, the task labels sit directly below them, and the title makes the contrast between routine and complex work explicit.

Main takeaway from the visual

The chart shows that generative AI speeds up developer work broadly, but the improvement is visibly stronger for routine coding tasks than for high-complexity assignments.

Key standout values or extremes

The important extreme is relative rather than categorical: the three bars tied to documentation, generation, and refactoring sit above the complex-task bar instead of clustering at the same level.

Controls / sequence, when applicable

This is a static chart image with no in-chart controls to operate.

Companion media, when applicable

There is no separate companion audio or video; the chart image is the full visual on this page.


A coding boost from AI

Artificial Intelligence | Digital

July 21, 2023 – When it comes to software development, generative AI can bring groundbreaking time savings. Partners Martin Harrysson and Shivam Srivastava and colleagues find that AI can cut the time needed to document code functionality by 45 to 50 percent, and can reduce completion time for writing code by 35 to 45 percent, for example.

Generative AI can increase developer speed, but less so for complex tasks.

To read the article, see “Unleashing developer productivity with generative AI,” June 27, 2023.


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